Does it include testing and validation?

Yes, the skill includes a dedicated phase for creating evaluation harnesses using QA pairs to ensure the LLM can successfully navigate complex tool interactions.

How does this skill improve LLM tool performance?

It focuses on agent-centric design, which prioritizes multi-step workflow consolidation and context-efficient responses rather than simple 1:1 API mapping.

What is an MCP server?

An MCP (Model Context Protocol) server is a standardized interface that allows Large Language Models to interact with external services, tools, and data sources securely and efficiently.

Which programming languages does this skill support?

This skill provides specialized implementation paths for Python (using FastMCP) and Node.js/TypeScript (using the official MCP SDK).

When should I use the mcp-builder skill?

Use it whenever you need to extend Claude's capabilities with custom tools that aren't available in the standard library or public marketplaces.

MCP Server Builder

Name: MCP Server Builder
Author: ccf

byccf

API 개발

Builds high-performance Model Context Protocol (MCP) servers to integrate LLMs with external APIs and services.

소개

The MCP Server Builder skill provides a structured framework for creating high-quality Model Context Protocol (MCP) servers using Python (FastMCP) or TypeScript. It guides Claude through an agent-centric design process that prioritizes actionable workflows over simple API wrapping, ensuring that tools are optimized for context efficiency, robust error handling, and real-world task completion. By following the integrated research, implementation, and evaluation phases, developers can build reliable LLM integrations that allow AI agents to interact seamlessly with any external service or data source.

주요 기능

Agent-centric design principles for optimized context window usage
LLM-friendly error handling with actionable natural language feedback
0 GitHub stars
Support for FastMCP (Python) and MCP SDK (TypeScript) frameworks
Structured implementation for robust input validation and schemas
Integrated evaluation framework for testing tool effectiveness

사용 사례

Building sophisticated API bridges for complex third-party SaaS integrations
Creating custom MCP servers to connect internal databases to Claude
Developing specialized local development tools for AI-driven workflows

소개

주요 기능

Agent-centric design principles for optimized context window usage
LLM-friendly error handling with actionable natural language feedback
0 GitHub stars
Support for FastMCP (Python) and MCP SDK (TypeScript) frameworks
Structured implementation for robust input validation and schemas
Integrated evaluation framework for testing tool effectiveness

사용 사례

Building sophisticated API bridges for complex third-party SaaS integrations
Creating custom MCP servers to connect internal databases to Claude
Developing specialized local development tools for AI-driven workflows