Which programming languages are supported by this skill?

The skill provides detailed implementation guides for both Python (using FastMCP) and Node/TypeScript (using the official MCP SDK).

How does this skill help with testing tools?

It includes a dedicated phase for creating evaluation harnesses, which use complex, multi-step questions to verify that the LLM can successfully navigate the tools you've built.

What does 'agent-centric design' mean in this context?

It refers to designing tools specifically for AI usage, focusing on concise data returns, actionable error messages, and task-oriented workflows instead of raw API endpoints.

Can I use this to build tools for production environments?

Yes, the skill covers production-grade concerns including input validation (Pydantic/Zod), authentication, rate limiting, and character truncation strategies.

What is an MCP server?

An MCP (Model Context Protocol) server is a standardized interface that allows Large Language Models like Claude to securely interact with external data, APIs, and local services.

MCP Server Builder

Name: MCP Server Builder
Author: rafaelcalleja

byrafaelcalleja

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API 开发

Guides the creation of high-quality Model Context Protocol (MCP) servers for seamless LLM integration with external services.

关于

The MCP Server Builder skill provides a comprehensive development framework for building robust Model Context Protocol (MCP) servers in both Python and TypeScript. It prioritizes agent-centric design, teaching developers how to build high-impact workflow tools rather than simple API wrappers. By focusing on context window optimization, actionable error handling, and evaluation-driven development, this skill ensures that the resulting tools are highly effective for Claude and other LLMs when interacting with external APIs, databases, and services.

主要功能

Standardized protocols for error handling, pagination, and response formatting (JSON/Markdown)
Agent-centric design patterns to optimize tool usage for limited LLM context windows
Step-by-step implementation guides for Python (FastMCP) and Node/TypeScript SDKs
1 GitHub stars
Automated retrieval of the latest MCP protocol and SDK documentation
Comprehensive evaluation framework for testing tool stability and performance

使用场景

Creating production-ready external service integrations with robust validation and error handling
Building custom MCP servers to connect internal business APIs to Claude
Refactoring existing API integrations into optimized tools for AI agents

关于

主要功能

Standardized protocols for error handling, pagination, and response formatting (JSON/Markdown)
Agent-centric design patterns to optimize tool usage for limited LLM context windows
Step-by-step implementation guides for Python (FastMCP) and Node/TypeScript SDKs
1 GitHub stars
Automated retrieval of the latest MCP protocol and SDK documentation
Comprehensive evaluation framework for testing tool stability and performance

使用场景

Creating production-ready external service integrations with robust validation and error handling
Building custom MCP servers to connect internal business APIs to Claude
Refactoring existing API integrations into optimized tools for AI agents