mcp-builder

To build an MCP server for LLM integration, implement server logic in TypeScript or Python, define actionable tools with schema validation using Zod or Pydantic, and configure transport mechanisms like Streamable HTTP or stdio to handle communication.

Model Context Protocol tool design involves defining clear, actionable inputs and outputs for LLMs. Schema validation works by using libraries like Zod or Pydantic to enforce strict data types and structures on tool inputs before the LLM executes them.

Yes, you can implement an MCP server using either Python or TypeScript. The guide covers best practices for server implementation, tool naming, response formatting, and pagination in both programming languages.

The best way to evaluate LLM interaction with an MCP server is to create a rigorous evaluation framework that tests how well the LLM calls your defined tools, validates schemas, and handles responses across various edge cases.

Streamable HTTP and stdio are transport mechanisms for MCP servers. Streamable HTTP enables network communication over HTTP, while stdio facilitates local communication through standard input and output streams between the LLM and server.