MCP Protocol

Implement Model Context Protocol (MCP) servers that provide tools, resources, and prompts to AI assistants.

Protocol Overview

MCP uses JSON-RPC 2.0 over HTTP with Server-Sent Events (SSE) for real-time communication. Servers expose:

• Tools — executable functions the AI can call
• Resources — data the AI can read
• Prompts — reusable prompt templates

Implementation

Server Setup

Handle the initialize handshake, negotiate protocol version and capabilities, and register available tools.

Tool Handlers

Each tool has a name, description, input schema (JSON Schema), and handler function. Return structured results.

Session Management

Use stateless or stateful sessions depending on your needs. KV storage works well for session state in serverless environments.

Best Practices

• Validate all tool inputs against their schemas
• Return descriptive error messages with proper JSON-RPC error codes
• Keep tool descriptions clear and specific — the AI uses them to decide when to call each tool
• Use structured logging for debugging and monitoring