mcp-builder

You can build an MCP server for LLM integration by following the provided language-specific guides for Python using FastMCP or Node/TypeScript using the MCP SDK, covering server setup, tool design, and response formatting.

The best way to design MCP server tools involves carefully planning tool naming conventions, defining clear schemas, implementing robust error handling, and using annotations to ensure LLMs can effectively interact with external APIs.

Yes, MCP server development supports both Python implementations using FastMCP and Node/TypeScript implementations using the official MCP SDK, providing detailed language-specific best practices for each environment.

To handle pagination and errors in an MCP server, implement structured error handling and pagination strategies within your tool design, ensuring that LLMs receive correctly formatted responses when interacting with external services.

You can evaluate MCP server effectiveness by utilizing the provided evaluation framework, which guides you through creating robust tests to measure how well the LLM interacts with external APIs and services through your server.

When developing an MCP server, you should follow the included security best practices to protect external API interactions, ensuring that LLM integration remains safe and that server tools handle sensitive data appropriately.