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Core component for exposing tools and resources to LLM applications

Core Idea: In Model Context Protocol (MCP), servers are specialized components that expose tools, resources, and prompts to host applications, enabling LLMs to access external functionality through a standardized interface.

Key Elements

Core Functions

• Tool Exposure: MCP servers define and expose executable functions (tools) that LLMs can call
• Resource Provision: They make documents and data accessible to host applications
• Communication Management: They handle JSON-RPC 2.0 message exchange with host applications

Server Categories

1. Official Reference Implementations:

   • Showcase MCP features and SDK usage
   • Maintained by Anthropic
   • Designed for reliability and clarity
   • Demonstrate protocol conformance

2. Official Integrations:

   • Maintained by companies for their platforms
   • Production-ready implementations
   • Connect to specific services and APIs
   • Often include authentication workflows

3. Community Servers:

   • Developed by community members
   • Cover diverse use cases and domains
   • Varying levels of maintenance and support
   • Unofficial and used at user's own risk

Implementation Steps

1. Choose SDK:

   • TypeScript SDK for JavaScript/TypeScript development
   • Python SDK for Python development
   • Community implementations in other languages

2. Define Resources:

   • Document collections or structured data
   • Static information relevant to the domain
   • Metadata about available capabilities

3. Define Tools:

   • Functions that perform actions
   • Query capabilities for data access
   • Management operations for resources

4. Configure Transport:

   • Server-Sent Events (SSE) for web-based clients
   • Standard I/O for local process communication
   • Custom transport layers for specific environments

Server Architecture

• Component Structure:

  • Servers are typically implemented as Python scripts using libraries like fast-mcp
  • They register tools, resources, and prompts with a standard API
  • They use standardized I/O or server-sent events for communication

• Lifecycle Management:

  • Servers are discovered and launched by host applications
  • They receive initialization requests when first connected
  • They respond to capability discovery requests (listing available tools)
  • They process tool calls and return results

Implementation Example

from model_context_protocol.server import Server
from model_context_protocol.fast_mcp import FastMCP

# Create server instance
server = FastMCP()

# Define and register tools
@server.tool("example_tool")
def example_tool(query: str) -> str:
    # Tool implementation logic
    return result

# Define and register resources
server.add_resource("example_resource", "path/to/resource.txt")

# Run the server with standard I/O
server.run(transport="stdio")

Host Application Configuration

{
  "mcpServers": {
    "example": {
      "command": "python",
      "args": ["-m", "example_server"],
      "env": {
        "API_KEY": "<YOUR_API_KEY>"
      }
    }
  }
}

Security Considerations

• Implement proper authentication
• Validate and sanitize inputs
• Set appropriate access controls
• Consider potential prompt injection vectors
• Implement rate limiting for resource-intensive operations

Testing and Deployment

• Test against the MCP specification
• Verify compatibility with clients
• Document usage patterns and examples
• Deploy as a standalone service or library

Key Reference Servers

• Fetch: Web content fetching and processing
• Filesystem: Secure file operations with access controls
• Memory: Knowledge graph-based persistent memory
• PostgreSQL/SQLite: Database interaction capabilities
• Time: Timezone and date/time processing

Connections

• Related Concepts: Model Context Protocol (MCP), MCP Tools, MCP Resources, MCP Architecture
• Implementation Examples: LangGraph Query Tool, Vector Store for Document Retrieval
• Compatible Libraries: LangChain Tools, fast-mcp, JSON-RPC 2.0
• Host Applications: Cursor IDE, Claude Desktop, Windsurf
• Development Tools: MCP Frameworks

References

1. Model Context Protocol Implementation Guide: modelcontextprotocol.io/introduction
2. TypeScript SDK: github.com/modelcontextprotocol/typescript-sdk
3. Python SDK: github.com/modelcontextprotocol/python-sdk
4. MCP Servers Repository: github.com/modelcontextprotocol/servers
5. MCP Specification: modelcontextprotocol.io/specification

#MCP #MCPServer #ToolIntegration #AITools #ServerImplementation #JSON-RPC #LLMIntegration

Sources:

• From: AICodeKing - RooCode, Cline, Windsurf + 3.7 Sonnet + Servidores MCP LOCOS ¡Estos son los servidores MCP MÁS L