How do I test my MCP server with this skill?

The skill includes a dedicated evaluation phase that guides you through creating realistic QA pairs to verify your server's effectiveness and stability before deployment.

Does this skill support both Python and TypeScript?

Yes, it provides specific implementation guides and best practices for both Python (using FastMCP) and Node/TypeScript SDKs.

Why is agent-centric design important for MCP?

Agent-centric design ensures tools are built for complete workflows rather than just raw API endpoints, making them more efficient for AI agents with limited context windows.

Can I use this for non-destructive operations only?

Yes. The guide emphasizes using 'readOnlyHint' and 'destructiveHint' annotations to help Claude understand the safety and impact of various tool calls.

What is an MCP server?

An MCP (Model Context Protocol) server is a specialized service that provides tools and resources, allowing LLMs to interact securely with external data, services, and APIs.

MCP Server Builder Guide

Name: MCP Server Builder Guide
Author: xiaxingxiaowei1983

byxiaxingxiaowei1983

0•

API 개발

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

This skill provides a comprehensive, step-by-step workflow for developers building Model Context Protocol (MCP) servers in Python or TypeScript. It emphasizes agent-centric design principles, ensuring that tools are optimized for LLM context windows and real-world task completion. By guiding users through deep research, implementation best practices, and evaluation-driven development, it enables the creation of robust integrations that allow AI agents to interact effectively with any external service, database, or API.

주요 기능

01Agent-centric tool design for optimized LLM context usage

02Comprehensive evaluation framework for testing tool effectiveness

03Detailed guidance on input/output schemas and data truncation

04Implementation of high-signal, actionable error messages for AI

05Support for both Python (FastMCP) and Node/TypeScript SDKs

060 GitHub stars

사용 사례

01Optimizing existing API wrappers for better performance with AI agents

02Creating a TypeScript-based MCP integration for a third-party SaaS API

03Building a custom MCP server to connect internal business databases to Claude

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add xiaxingxiaowei1983/openclaw mcp-builder

For use in Claude.ai and ChatGPT

주요 기능

01Agent-centric tool design for optimized LLM context usage

02Comprehensive evaluation framework for testing tool effectiveness

03Detailed guidance on input/output schemas and data truncation

04Implementation of high-signal, actionable error messages for AI

05Support for both Python (FastMCP) and Node/TypeScript SDKs

060 GitHub stars

사용 사례

01Optimizing existing API wrappers for better performance with AI agents

02Creating a TypeScript-based MCP integration for a third-party SaaS API

03Building a custom MCP server to connect internal business databases to Claude

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add xiaxingxiaowei1983/openclaw mcp-builder

For use in Claude.ai and ChatGPT