mcp-builder

To build an MCP server, you scaffold the project and register tools with explicit annotations and descriptions. This skill provides reference implementations for both Python FastMCP and Node/TypeScript SDKs, enforcing input validation and scalable architecture.

You validate MCP tool inputs using Pydantic for Python projects and Zod for TypeScript projects. This ensures strong runtime type safety and prevents invalid data from reaching your external services through the defined tools.

The best way to handle large MCP tool responses is to implement multi-format outputs like JSON and Markdown alongside pagination patterns. This skill guides you through applying character limits and pagination to manage data delivery effectively.

Yes, you can use FastMCP to enable LLMs to interact with external services through well-defined tools. This skill covers tool design, comprehensive documentation, and robust error handling to ensure coherent and scalable integrations.

You add error handling to an MCP server by following structured best practices for robust tooling. This skill provides a blueprint for explicit tool annotations, input validation, and comprehensive error management to reduce boilerplate.

Yes, you need explicit annotations and descriptions when registering tools in an MCP server. This skill enforces comprehensive documentation and clear conventions to ensure LLMs understand how to interact with your defined tools.