乐闻世界logo
搜索文章和话题

What are the ecosystem and community support for MCP?

2月21日 15:15

The MCP ecosystem and community support are crucial for its development and adoption. Here is a detailed ecosystem analysis and community participation methods:

MCP Ecosystem Architecture

The MCP ecosystem includes the following components:

  1. Core Protocol: MCP protocol specification and implementation
  2. Client Libraries: Client libraries in various programming languages
  3. Server Implementations: Server implementations on different platforms
  4. Tools and Plugins: Tools and plugins that extend MCP functionality
  5. Documentation and Tutorials: Learning resources and best practices
  6. Community Contributions: Open source projects and community activities

1. MCP Client Libraries

python
# Python client library example from typing import Dict, Any, Optional, List import asyncio import json class MCPClient: """MCP client""" def __init__(self, server_url: str): self.server_url = server_url self.session_id: Optional[str] = None self.capabilities: Dict[str, Any] = {} async def connect(self) -> bool: """Connect to MCP server""" try: # Initialize connection response = await self._send_request({ "jsonrpc": "2.0", "method": "initialize", "params": { "protocolVersion": "2024-11-05", "capabilities": { "tools": {}, "resources": {}, "prompts": {} } }, "id": 1 }) if "error" in response: print(f"Connection failed: {response['error']}") return False # Save session information self.session_id = response.get("result", {}).get("sessionId") self.capabilities = response.get("result", {}).get("capabilities", {}) # Send initialized notification await self._send_notification({ "jsonrpc": "2.0", "method": "notifications/initialized" }) return True except Exception as e: print(f"Connection error: {e}") return False async def list_tools(self) -> List[Dict[str, Any]]: """List available tools""" response = await self._send_request({ "jsonrpc": "2.0", "method": "tools/list", "id": 2 }) if "error" in response: print(f"Failed to get tools list: {response['error']}") return [] return response.get("result", {}).get("tools", []) async def call_tool( self, name: str, arguments: Dict[str, Any] ) -> Any: """Call tool""" response = await self._send_request({ "jsonrpc": "2.0", "method": "tools/call", "params": { "name": name, "arguments": arguments }, "id": 3 }) if "error" in response: raise Exception(f"Tool call failed: {response['error']}") return response.get("result") async def list_resources(self) -> List[Dict[str, Any]]: """List available resources""" response = await self._send_request({ "jsonrpc": "2.0", "method": "resources/list", "id": 4 }) if "error" in response: print(f"Failed to get resources list: {response['error']}") return [] return response.get("result", {}).get("resources", []) async def read_resource(self, uri: str) -> Any: """Read resource""" response = await self._send_request({ "jsonrpc": "2.0", "method": "resources/read", "params": { "uri": uri }, "id": 5 }) if "error" in response: raise Exception(f"Failed to read resource: {response['error']}") return response.get("result") async def list_prompts(self) -> List[Dict[str, Any]]: """List available prompts""" response = await self._send_request({ "jsonrpc": "2.0", "method": "prompts/list", "id": 6 }) if "error" in response: print(f"Failed to get prompts list: {response['error']}") return [] return response.get("result", {}).get("prompts", []) async def get_prompt( self, name: str, arguments: Dict[str, Any] = None ) -> Any: """Get prompt""" response = await self._send_request({ "jsonrpc": "2.0", "method": "prompts/get", "params": { "name": name, "arguments": arguments or {} }, "id": 7 }) if "error" in response: raise Exception(f"Failed to get prompt: {response['error']}") return response.get("result") async def _send_request(self, request: Dict[str, Any]) -> Dict[str, Any]: """Send request""" # Implement actual request sending logic # Using mock implementation here print(f"Sending request: {json.dumps(request, indent=2)}") # Mock response return { "jsonrpc": "2.0", "id": request["id"], "result": {} } async def _send_notification(self, notification: Dict[str, Any]): """Send notification""" print(f"Sending notification: {json.dumps(notification, indent=2)}") async def disconnect(self): """Disconnect""" await self._send_notification({ "jsonrpc": "2.0", "method": "shutdown" }) self.session_id = None self.capabilities = {}

2. MCP Server Implementation

python
# MCP server implementation example from mcp.server import Server from typing import Dict, Any, List class MyMCPServer(Server): """Custom MCP server""" def __init__(self, name: str = "my-mcp-server"): super().__init__(name) self._setup_tools() self._setup_resources() self._setup_prompts() def _setup_tools(self): """Setup tools""" @self.tool( name="calculate", description="Perform mathematical calculations" ) async def calculate( expression: str, operation: str = "evaluate" ) -> str: """Calculation tool""" try: if operation == "evaluate": result = eval(expression) return f"Calculation result: {result}" else: return "Unsupported operation" except Exception as e: return f"Calculation error: {str(e)}" @self.tool( name="search", description="Search for information" ) async def search( query: str, limit: int = 10 ) -> List[Dict[str, Any]]: """Search tool""" # Implement search logic results = [ { "title": f"Result {i}", "url": f"https://example.com/{i}", "snippet": f"This is result {i} about {query}" } for i in range(min(limit, 10)) ] return results def _setup_resources(self): """Setup resources""" @self.resource( uri="config://settings", name="Configuration Settings", description="Server configuration" ) async def get_config() -> Dict[str, Any]: """Get configuration""" return { "version": "1.0.0", "features": ["tools", "resources", "prompts"], "limits": { "max_requests_per_minute": 100, "max_concurrent_requests": 10 } } @self.resource( uri="data://statistics", name="Statistics Data", description="Server statistics" ) async def get_statistics() -> Dict[str, Any]: """Get statistics""" return { "total_requests": 1000, "successful_requests": 950, "failed_requests": 50, "average_response_time": 0.5 } def _setup_prompts(self): """Setup prompts""" @self.prompt( name="code_review", description="Code review prompt" ) async def code_review_prompt( language: str = "Python", focus: str = "performance" ) -> str: """Code review prompt""" return f""" Please review the following {language} code, focusing on {focus}: 1. Code quality and readability 2. {focus} related issues 3. Potential bugs and security issues 4. Improvement suggestions Please provide detailed review comments and improvement suggestions. """ @self.prompt( name="documentation", description="Documentation generation prompt" ) async def documentation_prompt( doc_type: str = "API", format: str = "Markdown" ) -> str: """Documentation generation prompt""" return f""" Please generate {doc_type} documentation for the following code using {format} format: 1. Function overview 2. Parameter descriptions 3. Return value description 4. Usage examples 5. Notes and warnings Ensure the documentation is clear, accurate, and easy to understand. """ # Start server async def start_server(): """Start MCP server""" server = MyMCPServer() # Start server await server.start() print("MCP server started") # Keep server running try: while True: await asyncio.sleep(1) except KeyboardInterrupt: print("Shutting down server...") await server.stop() print("Server stopped") if __name__ == "__main__": asyncio.run(start_server())

3. MCP Community Projects

python
# Community contributed MCP tools and plugins example class MCPCommunityTools: """Community MCP tools collection""" @staticmethod def get_popular_tools() -> List[Dict[str, Any]]: """Get popular tools""" return [ { "name": "mcp-database", "description": "Database operation tools", "author": "community", "stars": 150, "url": "https://github.com/example/mcp-database" }, { "name": "mcp-filesystem", "description": "File system operation tools", "author": "community", "stars": 120, "url": "https://github.com/example/mcp-filesystem" }, { "name": "mcp-web-scraper", "description": "Web scraping tools", "author": "community", "stars": 100, "url": "https://github.com/example/mcp-web-scraper" }, { "name": "mcp-api-client", "description": "API client tools", "author": "community", "stars": 90, "url": "https://github.com/example/mcp-api-client" } ] @staticmethod def get_server_implementations() -> List[Dict[str, Any]]: """Get server implementations""" return [ { "name": "mcp-server-python", "language": "Python", "description": "Python MCP server implementation", "version": "1.0.0" }, { "name": "mcp-server-nodejs", "language": "JavaScript", "description": "Node.js MCP server implementation", "version": "1.0.0" }, { "name": "mcp-server-go", "language": "Go", "description": "Go MCP server implementation", "version": "0.9.0" }, { "name": "mcp-server-rust", "language": "Rust", "description": "Rust MCP server implementation", "version": "0.8.0" } ] @staticmethod def get_client_libraries() -> List[Dict[str, Any]]: """Get client libraries""" return [ { "name": "mcp-client-python", "language": "Python", "description": "Python MCP client library", "version": "1.0.0", "pip": "pip install mcp-client" }, { "name": "mcp-client-js", "language": "JavaScript", "description": "JavaScript MCP client library", "version": "1.0.0", "npm": "npm install @mcp/client" }, { "name": "mcp-client-java", "language": "Java", "description": "Java MCP client library", "version": "0.9.0", "maven": "implementation 'com.mcp:client:0.9.0'" } ]

4. MCP Documentation and Tutorials

python
class MCPDocumentation: """MCP documentation resources""" @staticmethod def get_official_docs() -> List[Dict[str, Any]]: """Get official documentation""" return [ { "title": "MCP Protocol Specification", "url": "https://spec.modelcontextprotocol.io", "description": "Complete technical specification of MCP protocol", "language": "en" }, { "title": "Quick Start Guide", "url": "https://docs.modelcontextprotocol.io/quickstart", "description": "Guide to get started with MCP quickly", "language": "zh" }, { "title": "Server Implementation Guide", "url": "https://docs.modelcontextprotocol.io/server", "description": "How to implement MCP servers", "language": "zh" }, { "title": "Client Development Guide", "url": "https://docs.modelcontextprotocol.io/client", "description": "How to develop MCP clients", "language": "zh" } ] @staticmethod def get_tutorials() -> List[Dict[str, Any]]: """Get tutorials""" return [ { "title": "Build Your First MCP Server", "url": "https://docs.modelcontextprotocol.io/tutorials/first-server", "description": "Build an MCP server from scratch", "difficulty": "beginner", "duration": "30 minutes" }, { "title": "MCP Tool Development", "url": "https://docs.modelcontextprotocol.io/tutorials/tool-development", "description": "Develop custom MCP tools", "difficulty": "intermediate", "duration": "1 hour" }, { "title": "MCP Integration Best Practices", "url": "https://docs.modelcontextprotocol.io/tutorials/best-practices", "description": "Best practices for MCP integration", "difficulty": "advanced", "duration": "2 hours" } ] @staticmethod def get_examples() -> List[Dict[str, Any]]: """Get example code""" return [ { "title": "Simple Calculator Server", "url": "https://github.com/modelcontextprotocol/examples/tree/main/calculator", "description": "A simple calculator MCP server example", "language": "Python" }, { "title": "File System Server", "url": "https://github.com/modelcontextprotocol/examples/tree/main/filesystem", "description": "File system operation MCP server example", "language": "Python" }, { "title": "Database Integration Server", "url": "https://github.com/modelcontextprotocol/examples/tree/main/database", "description": "Database integration MCP server example", "language": "Python" } ]

5. MCP Community Participation

python
class MCPCommunity: """MCP community participation""" @staticmethod def get_community_channels() -> List[Dict[str, Any]]: """Get community channels""" return [ { "name": "GitHub", "url": "https://github.com/modelcontextprotocol", "description": "MCP GitHub organization", "type": "code" }, { "name": "Discord", "url": "https://discord.gg/mcp", "description": "MCP Discord community", "type": "chat" }, { "name": "Twitter", "url": "https://twitter.com/modelcontext", "description": "MCP Twitter account", "type": "social" }, { "name": "Reddit", "url": "https://reddit.com/r/modelcontextprotocol", "description": "MCP Reddit community", "type": "forum" } ] @staticmethod def get_contribution_guidelines() -> Dict[str, Any]: """Get contribution guidelines""" return { "code_of_conduct": "https://github.com/modelcontextprotocol/.github/blob/main/CODE_OF_CONDUCT.md", "contributing": "https://github.com/modelcontextprotocol/.github/blob/main/CONTRIBUTING.md", "pull_request_template": "https://github.com/modelcontextprotocol/.github/blob/main/PULL_REQUEST_TEMPLATE.md", "issue_template": "https://github.com/modelcontextprotocol/.github/blob/main/ISSUE_TEMPLATE.md" } @staticmethod def get_ways_to_contribute() -> List[Dict[str, Any]]: """Get ways to contribute""" return [ { "type": "Code Contribution", "description": "Submit code improvements and bug fixes", "difficulty": "intermediate" }, { "type": "Documentation Improvement", "description": "Improve and translate documentation", "difficulty": "beginner" }, { "type": "Issue Reporting", "description": "Report bugs and request features", "difficulty": "beginner" }, { "type": "Tool Development", "description": "Develop new MCP tools and plugins", "difficulty": "advanced" }, { "type": "Community Support", "description": "Answer questions and provide help in the community", "difficulty": "intermediate" } ]

Best Practices:

  1. Community Participation: Actively participate in MCP community discussions and contributions
  2. Learning Resources: Make full use of official documentation and tutorial resources
  3. Open Source Contributions: Contribute code and tools to the MCP ecosystem
  4. Share Experience: Share experience and best practices of using MCP
  5. Feedback and Improvement: Provide feedback to help improve MCP protocol and tools
  6. Continuous Learning: Keep up with the latest developments and updates of MCP

By actively participating in the MCP ecosystem and community, you can better leverage MCP's functionality and contribute to the community.

标签:MCP