Nas partes anteriores construímos um servidor MCP completo com tools, resources e prompts. Para encerrar o guia, voltamos ao transporte **HTTP**, adicionamos **autenticação** com tokens Bearer e chaves RSA e, por fim, criamos um **cliente MCP** que se conecta ao servidor.
⚠️ Este capítulo continua o código das partes anteriores (Parte 1 · Parte 2 · Parte 3).
Aviso: Este post foi traduzido para o português usando um modelo de tradução automática. Por favor, me avise se encontrar algum erro.
📚 **Esta entrada faz parte da série _MCP com FastMCP_**, dividida em quatro capítulos que são lidos em ordem:
> * Parte 1: Primeiro servidor e tools
* Parte 2: Transporte, contexto e resources
* Parte 3: Recursos avançados e prompts
* 👉 **Parte 4: HTTP, autenticação e cliente**
Retorno a HTTP
Vamos configurar http novamente como camada de transporte para as duas últimas coisas que vamos ver
Servidor MCP
InputPython%%writefile gitHub_MCP_server/github_server.pyimport httpxfrom fastmcp import FastMCP, Contextfrom github import GITHUB_TOKEN, create_github_headersimport datetimeUSER_ID = 1234567890# Create FastMCP servermcp = FastMCP(name="GitHubMCP",instructions="This server provides tools, resources and prompts to interact with the GitHub API.",include_tags={"public"},exclude_tags={"first_issue"})sub_mcp = FastMCP(name="SubMCP",)@mcp.tool(tags={"public", "production"},exclude_args=["user_id"], # user_id has to be injected by server, not provided by LLM)async def list_repository_issues(owner: str, repo_name: str, ctx: Context, user_id: int = USER_ID) -> list[dict]:"""Lists open issues for a given GitHub repository.Args:owner: The owner of the repository (e.g., 'modelcontextprotocol')repo_name: The name of the repository (e.g., 'python-sdk')ctx: The context of the requestuser_id: The user ID (automatically injected by the server)Returns:list[dict]: A list of dictionaries, each containing information about an issue"""# Limit to first 10 issues to avoid very long responsesapi_url = f"https://api.github.com/repos/{owner}/{repo_name}/issues?state=open&per_page=10"ctx.info(f"Fetching issues from {api_url}...")async with httpx.AsyncClient() as client:try:response = await client.get(api_url, headers=create_github_headers())response.raise_for_status()issues_data = response.json()if not issues_data:ctx.info("No open issues found for this repository.")return [{"message": "No open issues found for this repository."}]issues_summary = []for issue in issues_data:# Create a more concise summarysummary = f"#{issue.get('number', 'N/A')}: {issue.get('title', 'No title')}"if issue.get('comments', 0) > 0:summary += f" ({issue.get('comments')} comments)"issues_summary.append({"number": issue.get("number"),"title": issue.get("title"),"user": issue.get("user", {}).get("login"),"url": issue.get("html_url"),"comments": issue.get("comments"),"summary": summary})ctx.info(f"Found {len(issues_summary)} open issues.")# Add context informationresult = {"total_found": len(issues_summary),"repository": f"{owner}/{repo_name}","note": "Showing first 10 open issues" if len(issues_summary) == 10 else f"Showing all {len(issues_summary)} open issues","issues": issues_summary,"requested_by_user_id": user_id}return [result]except httpx.HTTPStatusError as e:error_message = e.response.json().get("message", "No additional message from API.")if e.response.status_code == 403 and GITHUB_TOKEN:error_message += " (Rate limit with token or token lacks permissions?)"elif e.response.status_code == 403 and not GITHUB_TOKEN:error_message += " (Rate limit without token. Consider creating a .env file with GITHUB_TOKEN.)"ctx.error(f"GitHub API error: {e.response.status_code}. {error_message}")return [{"error": f"GitHub API error: {e.response.status_code}","message": error_message}]except Exception as e:ctx.error(f"An unexpected error occurred: {str(e)}")return [{"error": f"An unexpected error occurred: {str(e)}"}]@mcp.tool(tags={"private", "development"})async def list_more_repository_issues(owner: str, repo_name: str) -> list[dict]:"""Lists open issues for a given GitHub repository.Args:owner: The owner of the repository (e.g., 'modelcontextprotocol')repo_name: The name of the repository (e.g., 'python-sdk')Returns:list[dict]: A list of dictionaries, each containing information about an issue"""# Limit to first 100 issues to avoid very long responsesapi_url = f"https://api.github.com/repos/{owner}/{repo_name}/issues?state=open&per_page=100"print(f"Fetching issues from {api_url}...")async with httpx.AsyncClient() as client:try:response = await client.get(api_url, headers=create_github_headers())response.raise_for_status()issues_data = response.json()if not issues_data:print("No open issues found for this repository.")return [{"message": "No open issues found for this repository."}]issues_summary = []for issue in issues_data:# Create a more concise summarysummary = f"#{issue.get('number', 'N/A')}: {issue.get('title', 'No title')}"if issue.get('comments', 0) > 0:summary += f" ({issue.get('comments')} comments)"issues_summary.append({"number": issue.get("number"),"title": issue.get("title"),"user": issue.get("user", {}).get("login"),"url": issue.get("html_url"),"comments": issue.get("comments"),"summary": summary})print(f"Found {len(issues_summary)} open issues.")# Add context informationresult = {"total_found": len(issues_summary),"repository": f"{owner}/{repo_name}","note": "Showing first 10 open issues" if len(issues_summary) == 10 else f"Showing all {len(issues_summary)} open issues","issues": issues_summary}return [result]except httpx.HTTPStatusError as e:error_message = e.response.json().get("message", "No additional message from API.")if e.response.status_code == 403 and GITHUB_TOKEN:error_message += " (Rate limit with token or token lacks permissions?)"elif e.response.status_code == 403 and not GITHUB_TOKEN:error_message += " (Rate limit without token. Consider creating a .env file with GITHUB_TOKEN.)"print(f"GitHub API error: {e.response.status_code}. {error_message}")return [{"error": f"GitHub API error: {e.response.status_code}","message": error_message}]except Exception as e:print(f"An unexpected error occurred: {str(e)}")return [{"error": f"An unexpected error occurred: {str(e)}"}]@mcp.tool(tags={"public", "first_issue"})async def first_repository_issue(owner: str, repo_name: str) -> list[dict]:"""Gets the first issue ever created in a GitHub repository.Args:owner: The owner of the repository (e.g., 'modelcontextprotocol')repo_name: The name of the repository (e.g., 'python-sdk')Returns:list[dict]: A list containing information about the first issue created"""# Get the first issue by sorting by creation date in ascending orderapi_url = f"https://api.github.com/repos/{owner}/{repo_name}/issues?state=all&sort=created&direction=asc&per_page=1"print(f"Fetching first issue from {api_url}...")async with httpx.AsyncClient() as client:try:response = await client.get(api_url, headers=create_github_headers())response.raise_for_status()issues_data = response.json()if not issues_data:print("No issues found for this repository.")return [{"message": "No issues found for this repository."}]first_issue = issues_data[0]# Create a detailed summary of the first issuesummary = f"#{first_issue.get('number', 'N/A')}: {first_issue.get('title', 'No title')}"if first_issue.get('comments', 0) > 0:summary += f" ({first_issue.get('comments')} comments)"issue_info = {"number": first_issue.get("number"),"title": first_issue.get("title"),"user": first_issue.get("user", {}).get("login"),"url": first_issue.get("html_url"),"state": first_issue.get("state"),"comments": first_issue.get("comments"),"created_at": first_issue.get("created_at"),"updated_at": first_issue.get("updated_at"),"body": first_issue.get("body", "")[:500] + "..." if len(first_issue.get("body", "")) > 500 else first_issue.get("body", ""),"summary": summary}print(f"Found first issue: #{first_issue.get('number')} created on {first_issue.get('created_at')}")# Add context informationresult = {"repository": f"{owner}/{repo_name}","note": "This is the very first issue created in this repository","first_issue": issue_info}return [result]except httpx.HTTPStatusError as e:error_message = e.response.json().get("message", "No additional message from API.")if e.response.status_code == 403 and GITHUB_TOKEN:error_message += " (Rate limit with token or token lacks permissions?)"elif e.response.status_code == 403 and not GITHUB_TOKEN:error_message += " (Rate limit without token. Consider creating a .env file with GITHUB_TOKEN.)"print(f"GitHub API error: {e.response.status_code}. {error_message}")return [{"error": f"GitHub API error: {e.response.status_code}","message": error_message}]except Exception as e:print(f"An unexpected error occurred: {str(e)}")return [{"error": f"An unexpected error occurred: {str(e)}"}]@mcp.resource("resource://server_info", tags={"public"})def server_info(ctx: Context) -> str:"""Returns information about the server."""return {"info": "This is the MCP GitHub server development for MaximoFN blog post","requested_id": ctx.request_id}# Use: ¿Puedes leer el resource github://repo/facebook/react para obtener información detallada del repositorio?@mcp.resource("github://repo/{owner}/{repo_name}", tags={"public"})async def repository_info(owner: str, repo_name: str, ctx: Context) -> dict:"""Returns detailed information about a GitHub repository.Args:owner: The owner of the repository (e.g., 'modelcontextprotocol')repo_name: The name of the repository (e.g., 'python-sdk')ctx: The context of the requestReturns:dict: Repository information including name, description, stats, etc."""api_url = f"https://api.github.com/repos/{owner}/{repo_name}"ctx.info(f"Fetching repository information from {api_url}...")async with httpx.AsyncClient() as client:try:response = await client.get(api_url, headers=create_github_headers())response.raise_for_status()repo_data = response.json()# Extract relevant repository informationrepo_info = {"name": repo_data.get("name"),"full_name": repo_data.get("full_name"),"description": repo_data.get("description"),"owner": {"login": repo_data.get("owner", {}).get("login"),"type": repo_data.get("owner", {}).get("type")},"html_url": repo_data.get("html_url"),"clone_url": repo_data.get("clone_url"),"ssh_url": repo_data.get("ssh_url"),"language": repo_data.get("language"),"size": repo_data.get("size"), # Size in KB"stargazers_count": repo_data.get("stargazers_count"),"watchers_count": repo_data.get("watchers_count"),"forks_count": repo_data.get("forks_count"),"open_issues_count": repo_data.get("open_issues_count"),"default_branch": repo_data.get("default_branch"),"created_at": repo_data.get("created_at"),"updated_at": repo_data.get("updated_at"),"pushed_at": repo_data.get("pushed_at"),"is_private": repo_data.get("private"),"is_fork": repo_data.get("fork"),"is_archived": repo_data.get("archived"),"has_issues": repo_data.get("has_issues"),"has_projects": repo_data.get("has_projects"),"has_wiki": repo_data.get("has_wiki"),"license": repo_data.get("license", {}).get("name") if repo_data.get("license") else None,"topics": repo_data.get("topics", [])}ctx.info(f"Successfully retrieved information for repository {owner}/{repo_name}")return repo_infoexcept httpx.HTTPStatusError as e:error_message = e.response.json().get("message", "No additional message from API.")if e.response.status_code == 404:error_message = f"Repository {owner}/{repo_name} not found or is private."elif e.response.status_code == 403 and GITHUB_TOKEN:error_message += " (Rate limit with token or token lacks permissions?)"elif e.response.status_code == 403 and not GITHUB_TOKEN:error_message += " (Rate limit without token. Consider creating a .env file with GITHUB_TOKEN.)"ctx.error(f"GitHub API error: {e.response.status_code}. {error_message}")return {"error": f"GitHub API error: {e.response.status_code}","message": error_message,"repository": f"{owner}/{repo_name}"}except Exception as e:ctx.error(f"An unexpected error occurred: {str(e)}")return {"error": f"An unexpected error occurred: {str(e)}","repository": f"{owner}/{repo_name}"}@mcp.prompt(name="generate_issues_prompt",description="Generates a structured prompt for asking about GitHub repository issues. Use this when users want to formulate questions about repository issues, or need help creating prompts for issue analysis.",tags={"public"})def generate_issues_prompt(owner: str, repo_name: str) -> str:"""Generates a structured prompt for asking about GitHub repository issues.This prompt template helps users formulate clear questions about repository issuesand can be used as a starting point for issue analysis or research.Args:owner: Repository owner (e.g., 'huggingface', 'microsoft')repo_name: Repository name (e.g., 'transformers', 'vscode')Returns:A formatted prompt asking about repository issues"""return f"""Please provide information about the open issues in the repository {owner}/{repo_name}.I'm interested in:- Current open issues and their status- Recent issue trends and patterns- Common issue categories or topics- Any critical or high-priority issuesRepository: {owner}/{repo_name}"""@sub_mcp.tool(tags={"public"})def hello_world() -> str:"""Returns a simple greeting."""return "Hello, world!"mcp.mount("sub_mcp", sub_mcp)if __name__ == "__main__":print("DEBUG: Starting FastMCP GitHub server...")print(f"DEBUG: Server name: {mcp.name}")# Initialize and run the server, run with uv run client.py http://localhost:8000/mcpmcp.run(transport="streamable-http",host="0.0.0.0",port=8000,)Copied
Overwriting gitHub_MCP_server/github_server.py
Cliente MCP
InputPython%%writefile client_MCP/client.pyimport sysimport asynciofrom contextlib import AsyncExitStackfrom anthropic import Anthropicfrom dotenv import load_dotenvfrom fastmcp import Client# Load environment variables from .env fileload_dotenv()class FastMCPClient:"""FastMCP client that integrates with Claude to process user queriesand use tools and resources exposed by a FastMCP server."""def __init__(self):"""Initialize the FastMCP client with Anthropic and resource management."""self.exit_stack = AsyncExitStack()self.anthropic = Anthropic()self.client = Noneasync def connect_to_server(self, server_url: str):"""Connect to the specified FastMCP server via HTTP.Args:server_url: URL of the HTTP server (e.g., "http://localhost:8000/mcp")"""print(f"🔗 Connecting to FastMCP HTTP server: {server_url}")# Create FastMCP client for HTTP connection using SSE transportself.client = Client(server_url)# Note: FastMCP Client automatically detects HTTP URLs and uses SSE transportprint("✅ Client created successfully")async def list_available_tools(self):"""List available tools in the FastMCP server."""try:# Get list of tools from the server using FastMCP contextasync with self.client as client:tools = await client.list_tools()if tools:print(f" 🛠️ Available tools ({len(tools)}):")print("=" * 50)for tool in tools:print(f"📋 {tool.name}")if tool.description:print(f" Description: {tool.description}")# Show parameters if availableif hasattr(tool, 'inputSchema') and tool.inputSchema:if 'properties' in tool.inputSchema:params = list(tool.inputSchema['properties'].keys())print(f" Parameters: {', '.join(params)}")print()else:print("⚠️ No tools found in the server")except Exception as e:print(f"❌ Error listing tools: {str(e)}")async def list_available_resources(self):"""List available resources in the FastMCP server."""try:# Get list of resources from the server using FastMCP contextasync with self.client as client:resources = await client.list_resources()if resources:print(f" 📚 Available resources ({len(resources)}):")print("=" * 50)for resource in resources:print(f"📄 {resource.uri}")if resource.name:print(f" Name: {resource.name}")if resource.description:print(f" Description: {resource.description}")if resource.mimeType:print(f" MIME Type: {resource.mimeType}")print()else:print("⚠️ No resources found in the server")except Exception as e:print(f"❌ Error listing resources: {str(e)}")async def read_resource(self, resource_uri: str):"""Read a specific resource from the server.Args:resource_uri: URI of the resource to readReturns:str: Resource content"""try:async with self.client as client:result = await client.read_resource(resource_uri)return resultexcept Exception as e:print(f"❌ Error reading resource {resource_uri}: {str(e)}")return Noneasync def process_query(self, query: str) -> str:"""Process a user query, interacting with Claude and FastMCP tools and resources.Args:query: User queryReturns:str: Final processed response"""try:# Use FastMCP context for all operationsasync with self.client as client:# Get available tools and resourcestools_list = await client.list_tools()resources_list = await client.list_resources()# Prepare tools for Claude in correct formatclaude_tools = []for tool in tools_list:claude_tool = {"name": tool.name,"description": tool.description or f"Tool {tool.name}","input_schema": tool.inputSchema or {"type": "object", "properties": {}}}claude_tools.append(claude_tool)# Add a special tool for reading resources (including template resources)resource_description = "Read a resource from the MCP server. "if resources_list:# Convert URIs to strings to avoid AnyUrl object issuesresource_uris = [str(r.uri) for r in resources_list]resource_description += f"Available static resources: {', '.join(resource_uris)}. "resource_description += "Also supports template resources like github://repo/owner/repo_name for GitHub repository information."claude_tools.append({"name": "read_mcp_resource","description": resource_description,"input_schema": {"type": "object","properties": {"resource_uri": {"type": "string","description": "URI of the resource to read. Can be static (like resource://server_info) or template-based (like github://repo/facebook/react)"}},"required": ["resource_uri"]}})# Create initial message for Claudemessages = [{"role": "user","content": query}]# First call to Clauderesponse = self.anthropic.messages.create(model="claude-3-5-sonnet-20241022",max_tokens=6000,messages=messages,tools=claude_tools if claude_tools else None)# Process Claude's responseresponse_text = ""for content_block in response.content:if content_block.type == "text":response_text += content_block.textelif content_block.type == "tool_use":# Claude wants to use a tooltool_name = content_block.nametool_args = content_block.inputtool_call_id = content_block.idprint(f"🔧 Claude wants to use: {tool_name}")print(f"📝 Arguments: {tool_args}")try:if tool_name == "read_mcp_resource":# Handle resource readingresource_uri = tool_args.get("resource_uri")if resource_uri:tool_result = await client.read_resource(resource_uri)print(f"📖 Resource read successfully: {resource_uri}")# Better handling of resource resultif hasattr(tool_result, 'content'):# If it's a resource response object, extract contentif hasattr(tool_result.content, 'text'):result_content = tool_result.content.textelse:result_content = str(tool_result.content)else:# If it's already a string or simple objectresult_content = str(tool_result)else:tool_result = "Error: No resource URI provided"result_content = tool_resultelse:# Execute regular tool on the FastMCP servertool_result = await client.call_tool(tool_name, tool_args)print(f"✅ Tool executed successfully")result_content = str(tool_result)# Add tool result to the conversationmessages.append({"role": "assistant","content": response.content})# Format result for Claudeif tool_result:messages.append({"role": "user","content": [{"type": "tool_result","tool_use_id": tool_call_id,"content": f"Tool result: {result_content}"}]})else:messages.append({"role": "user","content": [{"type": "tool_result","tool_use_id": tool_call_id,"content": "Tool executed without response content"}]})# Second call to Claude with the tool resultfinal_response = self.anthropic.messages.create(model="claude-3-5-sonnet-20241022",max_tokens=6000,messages=messages,tools=claude_tools if claude_tools else None)# Extract text from the final responsefor final_content in final_response.content:if final_content.type == "text":response_text += final_content.textexcept Exception as e:error_msg = f"❌ Error executing {tool_name}: {str(e)}"print(error_msg)response_text += f" {error_msg}"return response_textexcept Exception as e:error_msg = f"❌ Error processing query: {str(e)}"print(error_msg)return error_msgasync def chat_loop(self):"""Main chat loop with user interaction."""print(" 🤖 FastMCP HTTP client started. Write 'quit', 'q', 'exit', 'salir' to exit.")print("💬 You can ask questions about GitHub repositories!")print("📚 The client can use tools and resources from the FastMCP server")print("-" * 60)while True:try:# Request user inputuser_input = input(" 👤 You: ").strip()if user_input.lower() in ['quit', 'q', 'exit', 'salir']:print("👋 Bye!")breakif not user_input:continueprint(" 🤔 Claude is thinking...")# Process queryresponse = await self.process_query(user_input)# Show responseprint(f" 🤖 Claude: {response}")except KeyboardInterrupt:print(" 👋 Disconnecting...")breakexcept Exception as e:print(f" ❌ Error in chat: {str(e)}")continueasync def cleanup(self):"""Clean up resources and close connections."""print("🧹 Cleaning up resources...")# FastMCP Client cleanup is handled automatically by context managerawait self.exit_stack.aclose()print("✅ Resources released")async def main():"""Main function that initializes and runs the FastMCP client."""# Verify command line argumentsif len(sys.argv) != 2:print("❌ Usage: python client.py <http_server_url>")print("📝 Example: python client.py http://localhost:8000/mcp")print("📝 Note: Now connects to HTTP server instead of executing script")sys.exit(1)server_url = sys.argv[1]# Validate URL formatif not server_url.startswith(('http://', 'https://')):print("❌ Error: Server URL must start with http:// or https://")print("📝 Example: python client.py http://localhost:8000")sys.exit(1)# Create and run clientclient = FastMCPClient()try:# Connect to the serverawait client.connect_to_server(server_url)# List available tools and resources after connectionawait client.list_available_tools()await client.list_available_resources()# Start chat loopawait client.chat_loop()except Exception as e:print(f"❌ Fatal error: {str(e)}")finally:# Ensure resources are cleaned upawait client.cleanup()if __name__ == "__main__":# Entry point of the scriptasyncio.run(main())Copied
Overwriting client_MCP/client.py
Autenticação
Se quisermos criar um servidor MCP ao qual apenas determinados clientes possam se conectar, podemos adicionar autenticação
Servidor MCP
Criamos o servidor com autenticação
InputPython%%writefile gitHub_MCP_server/github_server.pyimport httpxfrom fastmcp import FastMCP, Contextfrom fastmcp.server.auth import BearerAuthProviderfrom fastmcp.server.auth.providers.bearer import RSAKeyPairfrom fastmcp.server.dependencies import get_access_token, AccessTokenfrom github import GITHUB_TOKEN, create_github_headersimport datetimeUSER_ID = 1234567890# Generate RSA key pair for development and testingprint("🔐 Generating RSA key pair for authentication...")key_pair = RSAKeyPair.generate()# Configure Bearer authentication providerauth_provider = BearerAuthProvider(public_key=key_pair.public_key,issuer="https://github-mcp.maxfn.dev",audience="github-mcp-server",required_scopes=["github:read"] # Global scope required for all requests)# Generate a test token for developmentdevelopment_token = key_pair.create_token(subject="dev-user-maxfn",issuer="https://github-mcp.maxfn.dev",audience="github-mcp-server",scopes=["github:read", "github:write"],expires_in_seconds=3600 * 24 # Token is valid for 24 hours)print(f"🎫 Development token generated:")print(f" {development_token}")print("💡 Use this token in the client to authenticate")print("-" * 60)# Create FastMCP server with authenticationmcp = FastMCP(name="GitHubMCP",instructions="This server provides tools, resources and prompts to interact with the GitHub API.",include_tags={"public"},exclude_tags={"first_issue"},auth=auth_provider # Add authentication to the server)sub_mcp = FastMCP(name="SubMCP",)@mcp.tool(tags={"public", "production"},exclude_args=["user_id"], # user_id has to be injected by server, not provided by LLM)async def list_repository_issues(owner: str, repo_name: str, ctx: Context, user_id: int = USER_ID) -> list[dict]:"""Lists open issues for a given GitHub repository.Args:owner: The owner of the repository (e.g., 'modelcontextprotocol')repo_name: The name of the repository (e.g., 'python-sdk')ctx: The context of the requestuser_id: The user ID (automatically injected by the server)Returns:list[dict]: A list of dictionaries, each containing information about an issue"""# Limit to first 10 issues to avoid very long responsesapi_url = f"https://api.github.com/repos/{owner}/{repo_name}/issues?state=open&per_page=10"ctx.info(f"Fetching issues from {api_url}...")async with httpx.AsyncClient() as client:try:response = await client.get(api_url, headers=create_github_headers())response.raise_for_status()issues_data = response.json()if not issues_data:ctx.info("No open issues found for this repository.")return [{"message": "No open issues found for this repository."}]issues_summary = []for issue in issues_data:# Create a more concise summarysummary = f"#{issue.get('number', 'N/A')}: {issue.get('title', 'No title')}"if issue.get('comments', 0) > 0:summary += f" ({issue.get('comments')} comments)"issues_summary.append({"number": issue.get("number"),"title": issue.get("title"),"user": issue.get("user", {}).get("login"),"url": issue.get("html_url"),"comments": issue.get("comments"),"summary": summary})ctx.info(f"Found {len(issues_summary)} open issues.")# Get authenticated access token informationtry:access_token: AccessToken = get_access_token()authenticated_user = access_token.client_iduser_scopes = access_token.scopesctx.info(f"Request authenticated for user: {authenticated_user} with scopes: {user_scopes}")except Exception as e:authenticated_user = "unknown"user_scopes = []ctx.warning(f"Could not get access token info: {e}")# Add context informationresult = {"total_found": len(issues_summary),"repository": f"{owner}/{repo_name}","note": "Showing first 10 open issues" if len(issues_summary) == 10 else f"Showing all {len(issues_summary)} open issues","issues": issues_summary,"requested_by_user_id": user_id,"authenticated_user": authenticated_user,"user_scopes": user_scopes}return [result]except httpx.HTTPStatusError as e:error_message = e.response.json().get("message", "No additional message from API.")if e.response.status_code == 403 and GITHUB_TOKEN:error_message += " (Rate limit with token or token lacks permissions?)"elif e.response.status_code == 403 and not GITHUB_TOKEN:error_message += " (Rate limit without token. Consider creating a .env file with GITHUB_TOKEN.)"ctx.error(f"GitHub API error: {e.response.status_code}. {error_message}")return [{"error": f"GitHub API error: {e.response.status_code}","message": error_message}]except Exception as e:ctx.error(f"An unexpected error occurred: {str(e)}")return [{"error": f"An unexpected error occurred: {str(e)}"}]@mcp.tool(tags={"private", "development"})async def list_more_repository_issues(owner: str, repo_name: str) -> list[dict]:"""Lists open issues for a given GitHub repository.Args:owner: The owner of the repository (e.g., 'modelcontextprotocol')repo_name: The name of the repository (e.g., 'python-sdk')Returns:list[dict]: A list of dictionaries, each containing information about an issue"""# Limit to first 100 issues to avoid very long responsesapi_url = f"https://api.github.com/repos/{owner}/{repo_name}/issues?state=open&per_page=100"print(f"Fetching issues from {api_url}...")async with httpx.AsyncClient() as client:try:response = await client.get(api_url, headers=create_github_headers())response.raise_for_status()issues_data = response.json()if not issues_data:print("No open issues found for this repository.")return [{"message": "No open issues found for this repository."}]issues_summary = []for issue in issues_data:# Create a more concise summarysummary = f"#{issue.get('number', 'N/A')}: {issue.get('title', 'No title')}"if issue.get('comments', 0) > 0:summary += f" ({issue.get('comments')} comments)"issues_summary.append({"number": issue.get("number"),"title": issue.get("title"),"user": issue.get("user", {}).get("login"),"url": issue.get("html_url"),"comments": issue.get("comments"),"summary": summary})print(f"Found {len(issues_summary)} open issues.")# Add context informationresult = {"total_found": len(issues_summary),"repository": f"{owner}/{repo_name}","note": "Showing first 10 open issues" if len(issues_summary) == 10 else f"Showing all {len(issues_summary)} open issues","issues": issues_summary}return [result]except httpx.HTTPStatusError as e:error_message = e.response.json().get("message", "No additional message from API.")if e.response.status_code == 403 and GITHUB_TOKEN:error_message += " (Rate limit with token or token lacks permissions?)"elif e.response.status_code == 403 and not GITHUB_TOKEN:error_message += " (Rate limit without token. Consider creating a .env file with GITHUB_TOKEN.)"print(f"GitHub API error: {e.response.status_code}. {error_message}")return [{"error": f"GitHub API error: {e.response.status_code}","message": error_message}]except Exception as e:print(f"An unexpected error occurred: {str(e)}")return [{"error": f"An unexpected error occurred: {str(e)}"}]@mcp.tool(tags={"public", "first_issue"})async def first_repository_issue(owner: str, repo_name: str) -> list[dict]:"""Gets the first issue ever created in a GitHub repository.Args:owner: The owner of the repository (e.g., 'modelcontextprotocol')repo_name: The name of the repository (e.g., 'python-sdk')Returns:list[dict]: A list containing information about the first issue created"""# Get the first issue by sorting by creation date in ascending orderapi_url = f"https://api.github.com/repos/{owner}/{repo_name}/issues?state=all&sort=created&direction=asc&per_page=1"print(f"Fetching first issue from {api_url}...")async with httpx.AsyncClient() as client:try:response = await client.get(api_url, headers=create_github_headers())response.raise_for_status()issues_data = response.json()if not issues_data:print("No issues found for this repository.")return [{"message": "No issues found for this repository."}]first_issue = issues_data[0]# Create a detailed summary of the first issuesummary = f"#{first_issue.get('number', 'N/A')}: {first_issue.get('title', 'No title')}"if first_issue.get('comments', 0) > 0:summary += f" ({first_issue.get('comments')} comments)"issue_info = {"number": first_issue.get("number"),"title": first_issue.get("title"),"user": first_issue.get("user", {}).get("login"),"url": first_issue.get("html_url"),"state": first_issue.get("state"),"comments": first_issue.get("comments"),"created_at": first_issue.get("created_at"),"updated_at": first_issue.get("updated_at"),"body": first_issue.get("body", "")[:500] + "..." if len(first_issue.get("body", "")) > 500 else first_issue.get("body", ""),"summary": summary}print(f"Found first issue: #{first_issue.get('number')} created on {first_issue.get('created_at')}")# Add context informationresult = {"repository": f"{owner}/{repo_name}","note": "This is the very first issue created in this repository","first_issue": issue_info}return [result]except httpx.HTTPStatusError as e:error_message = e.response.json().get("message", "No additional message from API.")if e.response.status_code == 403 and GITHUB_TOKEN:error_message += " (Rate limit with token or token lacks permissions?)"elif e.response.status_code == 403 and not GITHUB_TOKEN:error_message += " (Rate limit without token. Consider creating a .env file with GITHUB_TOKEN.)"print(f"GitHub API error: {e.response.status_code}. {error_message}")return [{"error": f"GitHub API error: {e.response.status_code}","message": error_message}]except Exception as e:print(f"An unexpected error occurred: {str(e)}")return [{"error": f"An unexpected error occurred: {str(e)}"}]@mcp.resource("resource://server_info", tags={"public"})def server_info(ctx: Context) -> str:"""Returns information about the server."""return {"info": "This is the MCP GitHub server development for MaximoFN blog post","requested_id": ctx.request_id}@mcp.resource("github://repo/{owner}/{repo_name}", tags={"public"})async def repository_info(owner: str, repo_name: str, ctx: Context) -> dict:"""Returns detailed information about a GitHub repository.Args:owner: The owner of the repository (e.g., 'modelcontextprotocol')repo_name: The name of the repository (e.g., 'python-sdk')ctx: The context of the requestReturns:dict: Repository information including name, description, stats, etc."""api_url = f"https://api.github.com/repos/{owner}/{repo_name}"ctx.info(f"Fetching repository information from {api_url}...")async with httpx.AsyncClient() as client:try:response = await client.get(api_url, headers=create_github_headers())response.raise_for_status()repo_data = response.json()# Extract relevant repository informationrepo_info = {"name": repo_data.get("name"),"full_name": repo_data.get("full_name"),"description": repo_data.get("description"),"owner": {"login": repo_data.get("owner", {}).get("login"),"type": repo_data.get("owner", {}).get("type")},"html_url": repo_data.get("html_url"),"clone_url": repo_data.get("clone_url"),"ssh_url": repo_data.get("ssh_url"),"language": repo_data.get("language"),"size": repo_data.get("size"), # Size in KB"stargazers_count": repo_data.get("stargazers_count"),"watchers_count": repo_data.get("watchers_count"),"forks_count": repo_data.get("forks_count"),"open_issues_count": repo_data.get("open_issues_count"),"default_branch": repo_data.get("default_branch"),"created_at": repo_data.get("created_at"),"updated_at": repo_data.get("updated_at"),"pushed_at": repo_data.get("pushed_at"),"is_private": repo_data.get("private"),"is_fork": repo_data.get("fork"),"is_archived": repo_data.get("archived"),"has_issues": repo_data.get("has_issues"),"has_projects": repo_data.get("has_projects"),"has_wiki": repo_data.get("has_wiki"),"license": repo_data.get("license", {}).get("name") if repo_data.get("license") else None,"topics": repo_data.get("topics", [])}ctx.info(f"Successfully retrieved information for repository {owner}/{repo_name}")return repo_infoexcept httpx.HTTPStatusError as e:error_message = e.response.json().get("message", "No additional message from API.")if e.response.status_code == 404:error_message = f"Repository {owner}/{repo_name} not found or is private."elif e.response.status_code == 403 and GITHUB_TOKEN:error_message += " (Rate limit with token or token lacks permissions?)"elif e.response.status_code == 403 and not GITHUB_TOKEN:error_message += " (Rate limit without token. Consider creating a .env file with GITHUB_TOKEN.)"ctx.error(f"GitHub API error: {e.response.status_code}. {error_message}")return {"error": f"GitHub API error: {e.response.status_code}","message": error_message,"repository": f"{owner}/{repo_name}"}except Exception as e:ctx.error(f"An unexpected error occurred: {str(e)}")return {"error": f"An unexpected error occurred: {str(e)}","repository": f"{owner}/{repo_name}"}@mcp.prompt(name="generate_issues_prompt",description="Generates a structured prompt for asking about GitHub repository issues. Use this when users want to formulate questions about repository issues, or need help creating prompts for issue analysis.",tags={"public"})def generate_issues_prompt(owner: str, repo_name: str) -> str:"""Generates a structured prompt for asking about GitHub repository issues.This prompt template helps users formulate clear questions about repository issuesand can be used as a starting point for issue analysis or research.Args:owner: Repository owner (e.g., 'huggingface', 'microsoft')repo_name: Repository name (e.g., 'transformers', 'vscode')Returns:A formatted prompt asking about repository issues"""return f"""Please provide information about the open issues in the repository {owner}/{repo_name}.I'm interested in:- Current open issues and their status- Recent issue trends and patterns- Common issue categories or topics- Any critical or high-priority issuesRepository: {owner}/{repo_name}"""@sub_mcp.tool(tags={"public"})def hello_world() -> str:"""Returns a simple greeting."""return "Hello, world!"mcp.mount("sub_mcp", sub_mcp)if __name__ == "__main__":print("DEBUG: Starting FastMCP GitHub server...")print(f"DEBUG: Server name: {mcp.name}")# Initialize and run the server, run with uv run client.py http://localhost:8000/mcp# 1. Run server with uv run github_server.py. It gives you a token to use in the client.py# 2. Run client.py with the token you got from the server.py - uv run client.py http://localhost:8000/mcp <your_bearer_token>mcp.run(transport="streamable-http",host="0.0.0.0",port=8000,)Copied
Overwriting gitHub_MCP_server/github_server.py
Criamos um provedor de autenticação para o servidor e um token de desenvolvimento temporário
# Gerar par de chaves RSA para desenvolvimento e testes
print("🔐 Gerando par de chaves RSA para autenticação...")
key_pair = RSAKeyPair.generate()
# Configurar o provedor de autenticação Bearer
auth_provider = BearerAuthProvider(
public_key=key_pair.public_key,
issuer="https://github-mcp.maxfn.dev",
audience="github-mcp-server",
required_scopes=["github:read"] # Escopo global necessário para todas as solicitações
)
# Gerar um token de teste para desenvolvimento
development_token = key_pair.create_token(subject="dev-user-maxfn",
issuer="https://github-mcp.maxfn.dev",
audience="github-mcp-server",
scopes=["github:read", "github:write"],
expires_in_seconds=3600 * 24 # Token é válido por 24 horas
)
python
print(f"🎫 Token de desenvolvimento gerado:")
print(f" {development_token}")
print("💡 Use este token no cliente para autenticar")
print("-" * 60)Nós o usamos ao criar o servidor MCP
mcp = FastMCP(
name="GitHubMCP",
instructions="Este servidor fornece ferramentas, recursos e prompts para interagir com a API do GitHub.",
include_tags={"public"},exclude_tags={"first_issue"},
auth=auth_provider # Adicione autenticação ao servidor
)Cliente MCP
Criamos o cliente MCP com autenticação
InputPython%%writefile client_MCP/client.pyimport sysimport asynciofrom contextlib import AsyncExitStackfrom anthropic import Anthropicfrom dotenv import load_dotenvfrom fastmcp import Clientfrom fastmcp.client.auth import BearerAuth# Load environment variables from .env fileload_dotenv()class FastMCPClient:"""FastMCP client that integrates with Claude to process user queriesand use tools and resources exposed by a FastMCP server."""def __init__(self):"""Initialize the FastMCP client with Anthropic and resource management."""self.exit_stack = AsyncExitStack()self.anthropic = Anthropic()self.client = Noneasync def connect_to_server(self, server_url: str, auth_token: str = None):"""Connect to the specified FastMCP server via HTTP with optional authentication.Args:server_url: URL of the HTTP server (e.g., "http://localhost:8000/mcp")auth_token: Bearer token for authentication (optional)"""print(f"🔗 Connecting to FastMCP HTTP server: {server_url}")# Create authentication if token is providedauth = Noneif auth_token:auth = BearerAuth(token=auth_token)print("🔐 Using Bearer token authentication")else:print("⚠️ No authentication token provided - connecting without auth")# Create FastMCP client for HTTP connection using SSE transportself.client = Client(server_url, auth=auth)# Note: FastMCP Client automatically detects HTTP URLs and uses SSE transportprint("✅ Client created successfully")async def list_available_tools(self):"""List available tools in the FastMCP server."""try:# Get list of tools from the server using FastMCP contextasync with self.client as client:tools = await client.list_tools()if tools:print(f" 🛠️ Available tools ({len(tools)}):")print("=" * 50)for tool in tools:print(f"📋 {tool.name}")if tool.description:print(f" Description: {tool.description}")# Show parameters if availableif hasattr(tool, 'inputSchema') and tool.inputSchema:if 'properties' in tool.inputSchema:params = list(tool.inputSchema['properties'].keys())print(f" Parameters: {', '.join(params)}")print()else:print("⚠️ No tools found in the server")except Exception as e:print(f"❌ Error listing tools: {str(e)}")async def list_available_resources(self):"""List available resources in the FastMCP server."""try:# Get list of resources from the server using FastMCP contextasync with self.client as client:resources = await client.list_resources()if resources:print(f" 📚 Available resources ({len(resources)}):")print("=" * 50)for resource in resources:print(f"📄 {resource.uri}")if resource.name:print(f" Name: {resource.name}")if resource.description:print(f" Description: {resource.description}")if resource.mimeType:print(f" MIME Type: {resource.mimeType}")print()else:print("⚠️ No resources found in the server")except Exception as e:print(f"❌ Error listing resources: {str(e)}")async def list_available_prompts(self):"""List available prompts in the FastMCP server."""try:# Get list of prompts from the server using FastMCP contextasync with self.client as client:prompts = await client.list_prompts()if prompts:print(f" 💭 Available prompts ({len(prompts)}):")print("=" * 50)for prompt in prompts:print(f"🎯 {prompt.name}")if prompt.description:print(f" Description: {prompt.description}")# Show parameters if availableif hasattr(prompt, 'arguments') and prompt.arguments:params = []for arg in prompt.arguments:param_info = f"{arg.name}: {arg.description or 'No description'}"if arg.required:param_info += " (required)"params.append(param_info)print(f" Parameters: {', '.join(params)}")print()else:print("⚠️ No prompts found in the server")except Exception as e:print(f"❌ Error listing prompts: {str(e)}")async def read_resource(self, resource_uri: str):"""Read a specific resource from the server.Args:resource_uri: URI of the resource to readReturns:str: Resource content"""try:async with self.client as client:result = await client.read_resource(resource_uri)return resultexcept Exception as e:print(f"❌ Error reading resource {resource_uri}: {str(e)}")return Noneasync def get_prompt(self, prompt_name: str, prompt_args: dict = None):"""Get/call a specific prompt from the server.Args:prompt_name: Name of the prompt to callprompt_args: Arguments for the prompt (if any)Returns:str: Generated prompt content"""try:async with self.client as client:if prompt_args:result = await client.get_prompt(prompt_name, prompt_args)else:result = await client.get_prompt(prompt_name)# Extract the prompt text from the responseif hasattr(result, 'messages') and result.messages:# FastMCP returns prompts as message objectsreturn ' '.join([msg.content.text for msg in result.messages if hasattr(msg.content, 'text')])elif hasattr(result, 'content'):return str(result.content)else:return str(result)except Exception as e:print(f"❌ Error getting prompt {prompt_name}: {str(e)}")return Noneasync def process_query(self, query: str) -> str:"""Process a user query, interacting with Claude and FastMCP tools and resources.Args:query: User queryReturns:str: Final processed response"""try:# Use FastMCP context for all operationsasync with self.client as client:# Get available tools and resourcestools_list = await client.list_tools()resources_list = await client.list_resources()# Prepare tools for Claude in correct formatclaude_tools = []for tool in tools_list:claude_tool = {"name": tool.name,"description": tool.description or f"Tool {tool.name}","input_schema": tool.inputSchema or {"type": "object", "properties": {}}}claude_tools.append(claude_tool)# Add a special tool for reading resources (including template resources)resource_description = "Read a resource from the MCP server. "if resources_list:# Convert URIs to strings to avoid AnyUrl object issuesresource_uris = [str(r.uri) for r in resources_list]resource_description += f"Available static resources: {', '.join(resource_uris)}. "resource_description += "Also supports template resources like github://repo/owner/repo_name for GitHub repository information."claude_tools.append({"name": "read_mcp_resource","description": resource_description,"input_schema": {"type": "object","properties": {"resource_uri": {"type": "string","description": "URI of the resource to read. Can be static (like resource://server_info) or template-based (like github://repo/facebook/react)"}},"required": ["resource_uri"]}})# Add a special tool for using promptsprompt_description = "Generate specialized prompts from the MCP server. Use this when users want to: "prompt_description += "- Create well-structured questions about repositories "prompt_description += "- Get help formulating prompts for specific tasks "prompt_description += "- Generate template questions for analysis "if prompts_list:prompt_names = [p.name for p in prompts_list]prompt_description += f" Available prompts: {', '.join(prompt_names)} "prompt_description += "- generate_issues_prompt: Creates structured questions about GitHub repository issues"prompt_description += " IMPORTANT: Use prompts when users explicitly ask for help creating questions or prompts, or when they want to formulate better questions about repositories."claude_tools.append({"name": "use_mcp_prompt","description": prompt_description,"input_schema": {"type": "object","properties": {"prompt_name": {"type": "string","description": "Name of the prompt to use. Available: 'generate_issues_prompt'"},"prompt_args": {"type": "object","description": "Arguments for the prompt. For generate_issues_prompt: {'owner': 'repo-owner', 'repo_name': 'repo-name'}","properties": {"owner": {"type": "string","description": "Repository owner (e.g., 'huggingface', 'microsoft')"},"repo_name": {"type": "string","description": "Repository name (e.g., 'transformers', 'vscode')"}}}},"required": ["prompt_name"]}})# Create initial message for Claudemessages = [{"role": "user","content": query}]# First call to Clauderesponse = self.anthropic.messages.create(model="claude-3-5-sonnet-20241022",max_tokens=6000,messages=messages,tools=claude_tools if claude_tools else None)# Process Claude's responseresponse_text = ""for content_block in response.content:if content_block.type == "text":response_text += content_block.textelif content_block.type == "tool_use":# Claude wants to use a tooltool_name = content_block.nametool_args = content_block.inputtool_call_id = content_block.idprint(f"🔧 Claude wants to use: {tool_name}")print(f"📝 Arguments: {tool_args}")try:if tool_name == "read_mcp_resource":# Handle resource readingresource_uri = tool_args.get("resource_uri")if resource_uri:tool_result = await client.read_resource(resource_uri)print(f"📖 Resource read successfully: {resource_uri}")# Better handling of resource resultif hasattr(tool_result, 'content'):# If it's a resource response object, extract contentif hasattr(tool_result.content, 'text'):result_content = tool_result.content.textelse:result_content = str(tool_result.content)else:# If it's already a string or simple objectresult_content = str(tool_result)else:tool_result = "Error: No resource URI provided"result_content = tool_resultelif tool_name == "use_mcp_prompt":# Handle prompt usageprompt_name = tool_args.get("prompt_name")prompt_args = tool_args.get("prompt_args", {})if prompt_name:tool_result = await self.get_prompt(prompt_name, prompt_args)print(f"💭 Prompt '{prompt_name}' generated successfully")result_content = str(tool_result) if tool_result else "Error generating prompt"else:tool_result = "Error: No prompt name provided"result_content = tool_resultelse:# Execute regular tool on the FastMCP servertool_result = await client.call_tool(tool_name, tool_args)print(f"✅ Tool executed successfully")result_content = str(tool_result)# Add tool result to the conversationmessages.append({"role": "assistant","content": response.content})# Format result for Claudeif tool_result:messages.append({"role": "user","content": [{"type": "tool_result","tool_use_id": tool_call_id,"content": f"Tool result: {result_content}"}]})else:messages.append({"role": "user","content": [{"type": "tool_result","tool_use_id": tool_call_id,"content": "Tool executed without response content"}]})# Second call to Claude with the tool resultfinal_response = self.anthropic.messages.create(model="claude-3-5-sonnet-20241022",max_tokens=6000,messages=messages,tools=claude_tools if claude_tools else None)# Extract text from the final responsefor final_content in final_response.content:if final_content.type == "text":response_text += final_content.textexcept Exception as e:error_msg = f"❌ Error executing {tool_name}: {str(e)}"print(error_msg)response_text += f" {error_msg}"return response_textexcept Exception as e:error_msg = f"❌ Error processing query: {str(e)}"print(error_msg)return error_msgasync def chat_loop(self):"""Main chat loop with user interaction."""print(" 🤖 FastMCP HTTP client started. Write 'quit', 'q', 'exit', 'salir' to exit.")print("💬 You can ask questions about GitHub repositories!")print("📚 The client can use tools, resources, and prompts from the FastMCP server")print()print("💭 PROMPT Examples:")print(" • 'Generate a prompt for asking about issues in facebook/react'")print(" • 'Help me create a good question about microsoft/vscode issues'")print(" • 'I need a structured prompt for analyzing tensorflow/tensorflow'")print()print("🔧 DIRECT Examples:")print(" • 'Show me the issues in huggingface/transformers'")print(" • 'Get repository info for github://repo/google/chrome'")print("-" * 60)while True:try:# Request user inputuser_input = input(" 👤 You: ").strip()if user_input.lower() in ['quit', 'q', 'exit', 'salir']:print("👋 Bye!")breakif not user_input:continueprint(" 🤔 Claude is thinking...")# Process queryresponse = await self.process_query(user_input)# Show responseprint(f" 🤖 Claude: {response}")except KeyboardInterrupt:print(" 👋 Disconnecting...")breakexcept Exception as e:print(f" ❌ Error in chat: {str(e)}")continueasync def cleanup(self):"""Clean up resources and close connections."""print("🧹 Cleaning up resources...")# FastMCP Client cleanup is handled automatically by context managerawait self.exit_stack.aclose()print("✅ Resources released")async def main():"""Main function that initializes and runs the FastMCP client."""# Verify command line argumentsif len(sys.argv) < 2 or len(sys.argv) > 3:print("❌ Usage: python client.py <http_server_url> [auth_token]")print("📝 Example: python client.py http://localhost:8000/mcp")print("📝 Example with auth: python client.py http://localhost:8000/mcp <your_bearer_token>")print("📝 Note: Now connects to HTTP server instead of executing script")sys.exit(1)server_url = sys.argv[1]auth_token = sys.argv[2] if len(sys.argv) == 3 else None# Validate URL formatif not server_url.startswith(('http://', 'https://')):print("❌ Error: Server URL must start with http:// or https://")print("📝 Example: python client.py http://localhost:8000")sys.exit(1)# Create and run clientclient = FastMCPClient()try:# Connect to the serverawait client.connect_to_server(server_url, auth_token)# List available tools, resources, and prompts after connectionawait client.list_available_tools()await client.list_available_resources()await client.list_available_prompts()# Start chat loopawait client.chat_loop()except Exception as e:print(f"❌ Fatal error: {str(e)}")finally:# Ensure resources are cleaned upawait client.cleanup()if __name__ == "__main__":# Entry point of the scriptasyncio.run(main())Copied
Overwriting client_MCP/client.py
O token de autenticação é criado a partir do token fornecido pelo usuário ao iniciar o cliente
# Criar autenticação se o token for fornecido
auth = None
if auth_token:
auth = BearerAuth(token=auth_token) print("🔐 Usando autenticação por token Bearer")
else:python
print("⚠️ Nenhum token de autenticação fornecido - conectando sem autenticação")
O cliente é criado com o token de autenticação, que será enviado ao servidor
# Criar cliente FastMCP para conexão HTTP usando transporte SSE
self.client = Client(server_url, auth=auth)Conecta-se ao servidor enviando o token
# Conectar ao servidor
await client.connect_to_server(server_url, auth_token)Teste do MCP com autenticação
Como voltamos para o http, primeiro temos que subir o servidor
InputPython!cd gitHub_MCP_server && source .venv/bin/activate && uv run github_server.pyCopied
🔐 Generating RSA key pair for authentication...🎫 Development token generated:eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJodHRwczovL2dpdGh1Yi1tY3AubWF4Zm4uZGV2Iiwic3ViIjoiZGV2LXVzZXItbWF4Zm4iLCJpYXQiOjE3NTExMDgzMDAsImV4cCI6MTc1MTE5NDcwMCwiYXVkIjoiZ2l0aHViLW1jcC1zZXJ2ZXIiLCJzY29wZSI6ImdpdGh1YjpyZWFkIGdpdGh1Yjp3cml0ZSJ9.PX6BtUhNCv9YVq1ZCh2teAU_LsdGMJx-W2jntTvVgdXv3aDyiOeMuZE9fIcqRy9zcXT1pjexqQQDiRhy8WlRL-mdKooEbIc_ffBVX9LPVaxKAzfzZTnx2lYTt6DgnebjjdNk_OsXF3ujH5s0xmGtY892j-k9P8dJLLrTrqXLhWG2NX_jqHB_kMalFd0LT83D6uXjPako_DKHjYKLc67WvZU_JglVS5eI9YCmmhMlhPHyO4FUlD9xb0DpbOgz8bO1ZExBrB_W2YKomGI_u8R56ItM8bS3eEwybPgEHfHhDNI6PNqsJ3DB1Grmc7KOmGX4LJCfPyB6mpl_bQmChKzcdg💡 Use this token in the client to authenticate------------------------------------------------------------/Users/macm1/Documents/web/portafolio/posts/gitHub_MCP_server/github_server.py:412: DeprecationWarning: Mount prefixes are now optional and the first positional argument should be the server you want to mount.mcp.mount("sub_mcp", sub_mcp)DEBUG: Starting FastMCP GitHub server...DEBUG: Server name: GitHubMCP[06/28/25 12:58:20] INFO Starting MCP server 'GitHubMCP' with ]8;id=190590;file:///Users/macm1/Documents/web/portafolio/posts/gitHub_MCP_server/.venv/lib/python3.11/site-packages/fastmcp/server/server.py\server.py]8;;\:]8;id=102439;file:///Users/macm1/Documents/web/portafolio/posts/gitHub_MCP_server/.venv/lib/python3.11/site-packages/fastmcp/server/server.py#1297\1297]8;;\transport 'streamable-http' onhttp://0.0.0.0:8000/mcp/INFO: Started server process [27262]INFO: Waiting for application startup.INFO: Application startup complete.INFO: Uvicorn running on http://0.0.0.0:8000 (Press CTRL+C to quit)
Como vemos, nos gerou o token de autenticação eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJodHRwczovL2dpdGh1Yi1tY3AubWF4Zm4uZGV2Iiwic3ViIjoiZGV2LXVzZXItbWF4Zm4iLCJpYXQiOjE3NTExMDgzMDAsImV4cCI6MTc1MTE5NDcwMCwiYXVkIjoiZ2l0aHViLW1jcC1zZXJ2ZXIiLCJzY29wZSI6ImdpdGh1YjpyZWFkIGdpdGh1Yjp3cml0ZSJ9.PX6BtUhNCv9YVq1ZCh2teAU_LsdGMJx-W2jntTvVgdXv3aDyiOeMuZE9fIcqRy9zcXT1pjexqQQDiRhy8WlRL-mdKooEbIc_ffBVX9LPVaxKAzfzZTnx2lYTt6DgnebjjdNk_OsXF3ujH5s0xmGtY892j-k9P8dJLLrTrqXLhWG2NX_jqHB_kMalFd0LT83D6uXjPako_DKHjYKLc67WvZU_JglVS5eI9YCmmhMlhPHyO4FUlD9xb0DpbOgz8bO1ZExBrB_W2YKomGI_u8R56ItM8bS3eEwybPgEHfHhDNI6PNqsJ3DB1Grmc7KOmGX4LJCfPyB6mpl_bQmChKzcdg, é preciso usá-lo na hora de executar o cliente
E agora executamos o cliente com o token de autenticação que o servidor nos gerou.
InputPython!cd client_MCP && source .venv/bin/activate && uv run client.py http://localhost:8000/mcp eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJodHRwczovL2dpdGh1Yi1tY3AubWF4Zm4uZGV2Iiwic3ViIjoiZGV2LXVzZXItbWF4Zm4iLCJpYXQiOjE3NTExMDgzMDAsImV4cCI6MTc1MTE5NDcwMCwiYXVkIjoiZ2l0aHViLW1jcC1zZXJ2ZXIiLCJzY29wZSI6ImdpdGh1YjpyZWFkIGdpdGh1Yjp3cml0ZSJ9.PX6BtUhNCv9YVq1ZCh2teAU_LsdGMJx-W2jntTvVgdXv3aDyiOeMuZE9fIcqRy9zcXT1pjexqQQDiRhy8WlRL-mdKooEbIc_ffBVX9LPVaxKAzfzZTnx2lYTt6DgnebjjdNk_OsXF3ujH5s0xmGtY892j-k9P8dJLLrTrqXLhWG2NX_jqHB_kMalFd0LT83D6uXjPako_DKHjYKLc67WvZU_JglVS5eI9YCmmhMlhPHyO4FUlD9xb0DpbOgz8bO1ZExBrB_W2YKomGI_u8R56ItM8bS3eEwybPgEHfHhDNI6PNqsJ3DB1Grmc7KOmGX4LJCfPyB6mpl_bQmChKzcdgCopied
🔗 Connecting to FastMCP HTTP server: http://localhost:8000/mcp🔐 Using Bearer token authentication✅ Client created successfully🛠️ Available tools (2):==================================================📋 sub_mcp_hello_worldDescription: Returns a simple greeting.Parameters:📋 list_repository_issuesDescription: Lists open issues for a given GitHub repository.Args:owner: The owner of the repository (e.g., 'modelcontextprotocol')repo_name: The name of the repository (e.g., 'python-sdk')ctx: The context of the requestuser_id: The user ID (automatically injected by the server)Returns:list[dict]: A list of dictionaries, each containing information about an issueParameters: owner, repo_name📚 Available resources (1):==================================================...📚 The client can use tools, resources, and prompts from the FastMCP server💭 PROMPT Examples:• 'Generate a prompt for asking about issues in facebook/react'• 'Help me create a good question about microsoft/vscode issues'• 'I need a structured prompt for analyzing tensorflow/tensorflow'🔧 DIRECT Examples:• 'Show me the issues in huggingface/transformers'• 'Get repository info for github://repo/google/chrome'------------------------------------------------------------👤 You:
Como vemos, o cliente se conecta ao servidor e nos fornece uma lista dos tools, resources e prompts disponíveis.
Ping do cliente ao servidor
Quando executamos o MCP com http como camada de transporte, o normal é que o cliente e o servidor não estejam no mesmo computador. Portanto, quando executamos o cliente, não podemos saber se o servidor está funcionando, então podemos desenvolver um ping para verificar se o servidor está funcionando.
Cliente MCP
Vamos adicionar um ping ao cliente MCP
InputPython%%writefile client_MCP/client.pyimport sysimport asynciofrom contextlib import AsyncExitStackfrom anthropic import Anthropicfrom dotenv import load_dotenvfrom fastmcp import Clientfrom fastmcp.client.auth import BearerAuth# Load environment variables from .env fileload_dotenv()class FastMCPClient:"""FastMCP client that integrates with Claude to process user queriesand use tools and resources exposed by a FastMCP server."""def __init__(self):"""Initialize the FastMCP client with Anthropic and resource management."""self.exit_stack = AsyncExitStack()self.anthropic = Anthropic()self.client = Noneasync def connect_to_server(self, server_url: str, auth_token: str = None):"""Connect to the specified FastMCP server via HTTP with optional authentication.Args:server_url: URL of the HTTP server (e.g., "http://localhost:8000/mcp")auth_token: Bearer token for authentication (optional)"""print(f"🔗 Connecting to FastMCP HTTP server: {server_url}")# Create authentication if token is providedauth = Noneif auth_token:auth = BearerAuth(token=auth_token)print("🔐 Using Bearer token authentication")else:print("⚠️ No authentication token provided - connecting without auth")# Create FastMCP client for HTTP connection using SSE transportself.client = Client(server_url, auth=auth)# Note: FastMCP Client automatically detects HTTP URLs and uses SSE transportprint("✅ Client created successfully")# Ping to server to check if it's aliveasync with self.client as client:response = await client.ping()print(f"🏓 Server ping response: {response}")async def list_available_tools(self):"""List available tools in the FastMCP server."""try:# Get list of tools from the server using FastMCP contextasync with self.client as client:tools = await client.list_tools()if tools:print(f" 🛠️ Available tools ({len(tools)}):")print("=" * 50)for tool in tools:print(f"📋 {tool.name}")if tool.description:print(f" Description: {tool.description}")# Show parameters if availableif hasattr(tool, 'inputSchema') and tool.inputSchema:if 'properties' in tool.inputSchema:params = list(tool.inputSchema['properties'].keys())print(f" Parameters: {', '.join(params)}")print()else:print("⚠️ No tools found in the server")except Exception as e:print(f"❌ Error listing tools: {str(e)}")async def list_available_resources(self):"""List available resources in the FastMCP server."""try:# Get list of resources from the server using FastMCP contextasync with self.client as client:resources = await client.list_resources()if resources:print(f" 📚 Available resources ({len(resources)}):")print("=" * 50)for resource in resources:print(f"📄 {resource.uri}")if resource.name:print(f" Name: {resource.name}")if resource.description:print(f" Description: {resource.description}")if resource.mimeType:print(f" MIME Type: {resource.mimeType}")print()else:print("⚠️ No resources found in the server")except Exception as e:print(f"❌ Error listing resources: {str(e)}")async def list_available_prompts(self):"""List available prompts in the FastMCP server."""try:# Get list of prompts from the server using FastMCP contextasync with self.client as client:prompts = await client.list_prompts()if prompts:print(f" 💭 Available prompts ({len(prompts)}):")print("=" * 50)for prompt in prompts:print(f"🎯 {prompt.name}")if prompt.description:print(f" Description: {prompt.description}")# Show parameters if availableif hasattr(prompt, 'arguments') and prompt.arguments:params = []for arg in prompt.arguments:param_info = f"{arg.name}: {arg.description or 'No description'}"if arg.required:param_info += " (required)"params.append(param_info)print(f" Parameters: {', '.join(params)}")print()else:print("⚠️ No prompts found in the server")except Exception as e:print(f"❌ Error listing prompts: {str(e)}")async def read_resource(self, resource_uri: str):"""Read a specific resource from the server.Args:resource_uri: URI of the resource to readReturns:str: Resource content"""try:async with self.client as client:result = await client.read_resource(resource_uri)return resultexcept Exception as e:print(f"❌ Error reading resource {resource_uri}: {str(e)}")return Noneasync def get_prompt(self, prompt_name: str, prompt_args: dict = None):"""Get/call a specific prompt from the server.Args:prompt_name: Name of the prompt to callprompt_args: Arguments for the prompt (if any)Returns:str: Generated prompt content"""try:async with self.client as client:if prompt_args:result = await client.get_prompt(prompt_name, prompt_args)else:result = await client.get_prompt(prompt_name)# Extract the prompt text from the responseif hasattr(result, 'messages') and result.messages:# FastMCP returns prompts as message objectsreturn ' '.join([msg.content.text for msg in result.messages if hasattr(msg.content, 'text')])elif hasattr(result, 'content'):return str(result.content)else:return str(result)except Exception as e:print(f"❌ Error getting prompt {prompt_name}: {str(e)}")return Noneasync def process_query(self, query: str) -> str:"""Process a user query, interacting with Claude and FastMCP tools and resources.Args:query: User queryReturns:str: Final processed response"""try:# Use FastMCP context for all operationsasync with self.client as client:# Get available tools and resourcestools_list = await client.list_tools()resources_list = await client.list_resources()# Prepare tools for Claude in correct formatclaude_tools = []for tool in tools_list:claude_tool = {"name": tool.name,"description": tool.description or f"Tool {tool.name}","input_schema": tool.inputSchema or {"type": "object", "properties": {}}}claude_tools.append(claude_tool)# Add a special tool for reading resources (including template resources)resource_description = "Read a resource from the MCP server. "if resources_list:# Convert URIs to strings to avoid AnyUrl object issuesresource_uris = [str(r.uri) for r in resources_list]resource_description += f"Available static resources: {', '.join(resource_uris)}. "resource_description += "Also supports template resources like github://repo/owner/repo_name for GitHub repository information."claude_tools.append({"name": "read_mcp_resource","description": resource_description,"input_schema": {"type": "object","properties": {"resource_uri": {"type": "string","description": "URI of the resource to read. Can be static (like resource://server_info) or template-based (like github://repo/facebook/react)"}},"required": ["resource_uri"]}})# Add a special tool for using promptsprompt_description = "Generate specialized prompts from the MCP server. Use this when users want to: "prompt_description += "- Create well-structured questions about repositories "prompt_description += "- Get help formulating prompts for specific tasks "prompt_description += "- Generate template questions for analysis "if prompts_list:prompt_names = [p.name for p in prompts_list]prompt_description += f" Available prompts: {', '.join(prompt_names)} "prompt_description += "- generate_issues_prompt: Creates structured questions about GitHub repository issues"prompt_description += " IMPORTANT: Use prompts when users explicitly ask for help creating questions or prompts, or when they want to formulate better questions about repositories."claude_tools.append({"name": "use_mcp_prompt","description": prompt_description,"input_schema": {"type": "object","properties": {"prompt_name": {"type": "string","description": "Name of the prompt to use. Available: 'generate_issues_prompt'"},"prompt_args": {"type": "object","description": "Arguments for the prompt. For generate_issues_prompt: {'owner': 'repo-owner', 'repo_name': 'repo-name'}","properties": {"owner": {"type": "string","description": "Repository owner (e.g., 'huggingface', 'microsoft')"},"repo_name": {"type": "string","description": "Repository name (e.g., 'transformers', 'vscode')"}}}},"required": ["prompt_name"]}})# Create initial message for Claudemessages = [{"role": "user","content": query}]# First call to Clauderesponse = self.anthropic.messages.create(model="claude-3-5-sonnet-20241022",max_tokens=6000,messages=messages,tools=claude_tools if claude_tools else None)# Process Claude's responseresponse_text = ""for content_block in response.content:if content_block.type == "text":response_text += content_block.textelif content_block.type == "tool_use":# Claude wants to use a tooltool_name = content_block.nametool_args = content_block.inputtool_call_id = content_block.idprint(f"🔧 Claude wants to use: {tool_name}")print(f"📝 Arguments: {tool_args}")try:if tool_name == "read_mcp_resource":# Handle resource readingresource_uri = tool_args.get("resource_uri")if resource_uri:tool_result = await client.read_resource(resource_uri)print(f"📖 Resource read successfully: {resource_uri}")# Better handling of resource resultif hasattr(tool_result, 'content'):# If it's a resource response object, extract contentif hasattr(tool_result.content, 'text'):result_content = tool_result.content.textelse:result_content = str(tool_result.content)else:# If it's already a string or simple objectresult_content = str(tool_result)else:tool_result = "Error: No resource URI provided"result_content = tool_resultelif tool_name == "use_mcp_prompt":# Handle prompt usageprompt_name = tool_args.get("prompt_name")prompt_args = tool_args.get("prompt_args", {})if prompt_name:tool_result = await self.get_prompt(prompt_name, prompt_args)print(f"💭 Prompt '{prompt_name}' generated successfully")result_content = str(tool_result) if tool_result else "Error generating prompt"else:tool_result = "Error: No prompt name provided"result_content = tool_resultelse:# Execute regular tool on the FastMCP servertool_result = await client.call_tool(tool_name, tool_args)print(f"✅ Tool executed successfully")result_content = str(tool_result)# Add tool result to the conversationmessages.append({"role": "assistant","content": response.content})# Format result for Claudeif tool_result:messages.append({"role": "user","content": [{"type": "tool_result","tool_use_id": tool_call_id,"content": f"Tool result: {result_content}"}]})else:messages.append({"role": "user","content": [{"type": "tool_result","tool_use_id": tool_call_id,"content": "Tool executed without response content"}]})# Second call to Claude with the tool resultfinal_response = self.anthropic.messages.create(model="claude-3-5-sonnet-20241022",max_tokens=6000,messages=messages,tools=claude_tools if claude_tools else None)# Extract text from the final responsefor final_content in final_response.content:if final_content.type == "text":response_text += final_content.textexcept Exception as e:error_msg = f"❌ Error executing {tool_name}: {str(e)}"print(error_msg)response_text += f" {error_msg}"return response_textexcept Exception as e:error_msg = f"❌ Error processing query: {str(e)}"print(error_msg)return error_msgasync def chat_loop(self):"""Main chat loop with user interaction."""print(" 🤖 FastMCP HTTP client started. Write 'quit', 'q', 'exit', 'salir' to exit.")print("💬 You can ask questions about GitHub repositories!")print("📚 The client can use tools, resources, and prompts from the FastMCP server")print()print("💭 PROMPT Examples:")print(" • 'Generate a prompt for asking about issues in facebook/react'")print(" • 'Help me create a good question about microsoft/vscode issues'")print(" • 'I need a structured prompt for analyzing tensorflow/tensorflow'")print()print("🔧 DIRECT Examples:")print(" • 'Show me the issues in huggingface/transformers'")print(" • 'Get repository info for github://repo/google/chrome'")print("-" * 60)while True:try:# Request user inputuser_input = input(" 👤 You: ").strip()if user_input.lower() in ['quit', 'q', 'exit', 'salir']:print("👋 Bye!")breakif not user_input:continueprint(" 🤔 Claude is thinking...")# Process queryresponse = await self.process_query(user_input)# Show responseprint(f" 🤖 Claude: {response}")except KeyboardInterrupt:print(" 👋 Disconnecting...")breakexcept Exception as e:print(f" ❌ Error in chat: {str(e)}")continueasync def cleanup(self):"""Clean up resources and close connections."""print("🧹 Cleaning up resources...")# FastMCP Client cleanup is handled automatically by context managerawait self.exit_stack.aclose()print("✅ Resources released")async def main():"""Main function that initializes and runs the FastMCP client."""# Verify command line argumentsif len(sys.argv) < 2 or len(sys.argv) > 3:print("❌ Usage: python client.py <http_server_url> [auth_token]")print("📝 Example: python client.py http://localhost:8000/mcp")print("📝 Example with auth: python client.py http://localhost:8000/mcp <your_bearer_token>")print("📝 Note: Now connects to HTTP server instead of executing script")sys.exit(1)server_url = sys.argv[1]auth_token = sys.argv[2] if len(sys.argv) == 3 else None# Validate URL formatif not server_url.startswith(('http://', 'https://')):print("❌ Error: Server URL must start with http:// or https://")print("📝 Example: python client.py http://localhost:8000")sys.exit(1)# Create and run clientclient = FastMCPClient()try:# Connect to the serverawait client.connect_to_server(server_url, auth_token)# List available tools, resources, and prompts after connectionawait client.list_available_tools()await client.list_available_resources()# Start chat loopawait client.chat_loop()except Exception as e:print(f"❌ Fatal error: {str(e)}")finally:# Ensure resources are cleaned upawait client.cleanup()if __name__ == "__main__":# Entry point of the scriptasyncio.run(main())Copied
Overwriting client_MCP/client.py
Adicionamos no método connect_to_server o ping
# Ping para o servidor para verificar se está ativo
async with self.client as client:
response = await client.ping()
print(f"🏓 Resposta do ping do servidor: {response}")Teste de ping
Iniciamos primeiro o servidor
InputPython!cd gitHub_MCP_server && source .venv/bin/activate && uv run github_server.pyCopied
🔐 Generating RSA key pair for authentication...🎫 Development token generated:eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJodHRwczovL2dpdGh1Yi1tY3AubWF4Zm4uZGV2Iiwic3ViIjoiZGV2LXVzZXItbWF4Zm4iLCJpYXQiOjE3NTExMDkxMTIsImV4cCI6MTc1MTE5NTUxMiwiYXVkIjoiZ2l0aHViLW1jcC1zZXJ2ZXIiLCJzY29wZSI6ImdpdGh1YjpyZWFkIGdpdGh1Yjp3cml0ZSJ9.N_3QPIHW3BSn1iSSkrcaoelbwA-0D9Z3gelILb8fu1JC2JhCgtnJ0IwNqJrVhAkU0CNcykT36Q3mpCgy0hDhnFKkO9SRGVFgSw71voF5YNOkzzBY14cJERolYy9UDZA6geHxwR0rKyCGYkDH-NAKPuYWC9K7UlGfuOuzh3mp-XQ3Zy4mkyvfhiuwuaJ5_MdR0YtJj6opSRbEsVs1PtFYZETPExx3iBGck2qzLek-LxAJ6mjagPncikWeDwaYShFNPO0Ub3wm2Ok_ak_TChmN3W15MknfBXZrKcIhsNIhCrXJjZkSezp5JX49zoljdK2By9-QH1xmWCQqif_APD-hNQ💡 Use this token in the client to authenticate------------------------------------------------------------/Users/macm1/Documents/web/portafolio/posts/gitHub_MCP_server/github_server.py:412: DeprecationWarning: Mount prefixes are now optional and the first positional argument should be the server you want to mount.mcp.mount("sub_mcp", sub_mcp)DEBUG: Starting FastMCP GitHub server...DEBUG: Server name: GitHubMCP[06/28/25 13:11:52] INFO Starting MCP server 'GitHubMCP' with ]8;id=186381;file:///Users/macm1/Documents/web/portafolio/posts/gitHub_MCP_server/.venv/lib/python3.11/site-packages/fastmcp/server/server.py\server.py]8;;\:]8;id=502881;file:///Users/macm1/Documents/web/portafolio/posts/gitHub_MCP_server/.venv/lib/python3.11/site-packages/fastmcp/server/server.py#1297\1297]8;;\transport 'streamable-http' onhttp://0.0.0.0:8000/mcp/INFO: Started server process [31017]INFO: Waiting for application startup.INFO: Application startup complete.INFO: Uvicorn running on http://0.0.0.0:8000 (Press CTRL+C to quit)
E agora executamos o cliente com o token de autenticação
InputPython!cd client_MCP && source .venv/bin/activate && uv run client.py http://localhost:8000/mcp eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJodHRwczovL2dpdGh1Yi1tY3AubWF4Zm4uZGV2Iiwic3ViIjoiZGV2LXVzZXItbWF4Zm4iLCJpYXQiOjE3NTExMDkxMTIsImV4cCI6MTc1MTE5NTUxMiwiYXVkIjoiZ2l0aHViLW1jcC1zZXJ2ZXIiLCJzY29wZSI6ImdpdGh1YjpyZWFkIGdpdGh1Yjp3cml0ZSJ9.N_3QPIHW3BSn1iSSkrcaoelbwA-0D9Z3gelILb8fu1JC2JhCgtnJ0IwNqJrVhAkU0CNcykT36Q3mpCgy0hDhnFKkO9SRGVFgSw71voF5YNOkzzBY14cJERolYy9UDZA6geHxwR0rKyCGYkDH-NAKPuYWC9K7UlGfuOuzh3mp-XQ3Zy4mkyvfhiuwuaJ5_MdR0YtJj6opSRbEsVs1PtFYZETPExx3iBGck2qzLek-LxAJ6mjagPncikWeDwaYShFNPO0Ub3wm2Ok_ak_TChmN3W15MknfBXZrKcIhsNIhCrXJjZkSezp5JX49zoljdK2By9-QH1xmWCQqif_APD-hNQCopied
🔗 Connecting to FastMCP HTTP server: http://localhost:8000/mcp🔐 Using Bearer token authentication✅ Client created successfully🏓 Server ping response: True🛠️ Available tools (2):==================================================📋 sub_mcp_hello_worldDescription: Returns a simple greeting.Parameters:📋 list_repository_issuesDescription: Lists open issues for a given GitHub repository.Args:owner: The owner of the repository (e.g., 'modelcontextprotocol')repo_name: The name of the repository (e.g., 'python-sdk')ctx: The context of the requestuser_id: The user ID (automatically injected by the server)Returns:list[dict]: A list of dictionaries, each containing information about an issueParameters: owner, repo_name📚 Available resources (1):==================================================📄 resource://server_infoName: server_infoDescription: Returns information about the server.MIME Type: text/plain🤖 FastMCP HTTP client started. Write 'quit', 'q', 'exit', 'salir' to exit.💬 You can ask questions about GitHub repositories!📚 The client can use tools, resources, and prompts from the FastMCP server💭 PROMPT Examples:• 'Generate a prompt for asking about issues in facebook/react'• 'Help me create a good question about microsoft/vscode issues'• 'I need a structured prompt for analyzing tensorflow/tensorflow'🔧 DIRECT Examples:• 'Show me the issues in huggingface/transformers'• 'Get repository info for github://repo/google/chrome'------------------------------------------------------------👤 You: q👋 Bye!🧹 Cleaning up resources...✅ Resources released
Como vemos, o servidor respondeu ao ping
🏓 Resposta do ping do servidor: True---
🎉 **Você completou o guia _MCP com FastMCP_.** Revise os capítulos: Parte 1 · Parte 2 · Parte 3.