What is the Model Context Protocol (MCP)?

MCP is an open protocol that allows LLMs to interact with external data sources and tools through a standardized interface.

Why should I use this instead of just writing a basic API wrapper?

This skill emphasizes agent-centric design, helping you create tools that are optimized for context limits, have better error handling, and support complex workflows rather than just mirroring endpoints.

Does this skill support both Python and Node.js?

Yes, the mcp-builder skill provides specific implementation guides for both Python (FastMCP) and Node/TypeScript SDKs.

How does this skill help with testing?

It includes a dedicated phase for creating evaluation scenarios (QA pairs) to verify that your MCP server works reliably in real-world situations and produces stable answers.

MCP Server Builder

Name: MCP Server Builder
Author: QuyDatSadBoy

byQuyDatSadBoy

API 개발

Guides the creation of high-quality Model Context Protocol (MCP) servers using standardized workflows for Python and TypeScript.

소개

The mcp-builder skill provides a comprehensive framework for designing, implementing, and evaluating Model Context Protocol (MCP) servers. It shifts focus from basic API wrapping to agent-centric tool design, helping developers create tools that optimize context usage and handle complex workflows. By providing language-specific best practices for both Python (FastMCP) and Node/TypeScript, along with a rigorous evaluation methodology, this skill ensures that LLMs can interact reliably and effectively with external APIs and services.

주요 기능

Evaluation-driven development with automated testing questions
Step-by-step agent-centric tool design workflow
Context optimization and token management strategies
Comprehensive error handling and actionable messaging guidance
Python (FastMCP) and Node/TypeScript implementation patterns
0 GitHub stars

사용 사례

Optimizing existing MCP tools for better LLM performance and context efficiency
Building robust MCP servers for third-party SaaS platforms
Integrating internal company APIs with Claude for automated workflows

소개

주요 기능

Evaluation-driven development with automated testing questions
Step-by-step agent-centric tool design workflow
Context optimization and token management strategies
Comprehensive error handling and actionable messaging guidance
Python (FastMCP) and Node/TypeScript implementation patterns
0 GitHub stars

사용 사례

Optimizing existing MCP tools for better LLM performance and context efficiency
Building robust MCP servers for third-party SaaS platforms
Integrating internal company APIs with Claude for automated workflows