Does it help with testing and debugging MCP servers?

Yes, it includes specific phases for reviewing code quality and testing server responses using the MCP Inspector tool for both stdio and HTTP transports.

What programming languages does the mcp-builder skill support?

The skill provides comprehensive implementation patterns and guides for both TypeScript (using the official MCP SDK) and Python (leveraging the FastMCP framework).

How does this skill improve the quality of my MCP tools?

It enforces best practices such as consistent tool naming, the use of Zod/Pydantic schemas for input validation, and the implementation of actionable error messages that help LLMs self-correct.

What is the purpose of the Evaluation phase in this skill?

The Evaluation phase helps you create 10 complex, realistic, and verifiable QA pairs to ensure the LLM can successfully navigate your tools to solve real-world tasks.

MCP Server Builder

Name: MCP Server Builder
Author: Gingi892

byGingi892

0•

API開発

Guides the development of high-quality Model Context Protocol (MCP) servers to integrate LLMs with external APIs and services.

This skill provides a comprehensive framework for architecting and implementing MCP servers using TypeScript or Python. It leads developers through a structured four-phase lifecycle: deep research into API documentation, implementation of core infrastructure and tools, rigorous testing with the MCP Inspector, and the creation of complex evaluation datasets. By emphasizing clear tool naming, structured content outputs, and actionable error messages, it ensures that your custom integrations are reliable and highly discoverable for AI agents.

主な機能

01Step-by-step implementation guides for TypeScript (SDK) and Python (FastMCP)

02Guidance on transport selection between stdio and streamable HTTP

030 GitHub stars

04Standardized tool naming and context management best practices

05Framework for creating complex, verifiable evaluation datasets in XML

06Pre-configured quality checklists for server architecture and error handling

ユースケース

01Generating high-fidelity evaluation questions to measure LLM tool-calling accuracy

02Standardizing MCP development workflows across a software engineering team

03Building custom bridges between Claude and proprietary internal company APIs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add gingi892/automation-shamai mcp-builder

For use in Claude.ai and ChatGPT

Download Skill