mcp-builder

To build an MCP server for LLM integration, follow language-specific implementation guides for TypeScript/Node.js or Python/FastMCP. The process covers server setup, tool implementation with schema validation, response formatting, and transport mechanisms like HTTP or stdio.

The best way to implement schema validation for MCP server tools is using Zod for TypeScript/Node.js implementations and Pydantic for Python/FastMCP implementations to ensure robust input validation and response formatting.

Yes, MCP server development supports both Python and TypeScript. It offers detailed language-specific guidance for Python using FastMCP and TypeScript using Node.js to ensure seamless interaction with external services.

To handle pagination and security when creating an MCP server, apply the included best practices for naming, response formats, transport mechanisms, security protocols, and error handling to ensure robust and efficient API interactions.

Yes, you can create evaluations to test if an LLM effectively uses your MCP server. The development guide covers the end-to-end evaluation phase, ensuring the LLM can successfully interact with exposed external APIs and data.

You can use HTTP and stdio as transport mechanisms for an MCP server. The guide covers these transport options alongside security best practices and error handling to establish robust communication with LLMs.