How does this skill assist with server testing?

It provides instructions for using the MCP Inspector to verify tool execution and outlines a methodology for creating evaluation sets to test real-world effectiveness.

What is the Model Context Protocol (MCP)?

MCP is an open standard that enables LLMs to safely and reliably interact with external tools, APIs, and data sources through a unified interface.

Does this skill support both Python and TypeScript?

Yes, it provides specific implementation patterns for building MCP servers using both the official TypeScript SDK and the Python FastMCP framework.

Can I use this for local and remote server implementations?

Yes, the guide covers transport mechanisms for both local (stdio) and remote (streamable HTTP) server architectures.

What is the focus of the evaluation phase in this skill?

The evaluation phase focuses on creating 10 complex, realistic, and verifiable questions to ensure the LLM can successfully navigate your MCP tools to solve tasks.

MCP Server Builder

Name: MCP Server Builder
Author: pleaseai

bypleaseai

•

API 开发

Guides developers through the end-to-end process of building, testing, and evaluating high-quality Model Context Protocol (MCP) servers.

The MCP Builder skill provides a comprehensive framework for creating Model Context Protocol servers that allow LLMs to interact seamlessly with external services. It offers domain-specific guidance for both TypeScript and Python environments, covering everything from initial API research and tool design to robust error handling and automated evaluation creation. By following this standardized workflow, developers can ensure their MCP servers are discoverable, performant, and provide clear, actionable context to AI agents during complex coding tasks.

主要功能

01Integration guidance for MCP Inspector debugging and testing

02Step-by-step workflow for planning and implementing MCP servers

03Multi-language support for TypeScript (MCP SDK) and Python (FastMCP)

04Structured framework for creating rigorous evaluation question sets

05Standardized best practices for tool naming, schemas, and error handling

063 GitHub stars

使用场景

01Standardizing API integrations into the Model Context Protocol format for improved AI tool-calling

02Developing high-quality documentation and evaluation suites for open-source MCP projects

03Building custom MCP servers to connect Claude to internal company databases or proprietary APIs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add pleaseai/claude-code-plugins mcp-builder

For use in Claude.ai and ChatGPT

Download Skill