How do I test my MCP server safely?

The guide recommends using an evaluation harness or running the server in a separate process like tmux to prevent the long-running stdio process from hanging your main terminal.

What makes an MCP server 'high-quality'?

A high-quality server is designed for workflows rather than just endpoints, provides actionable error messages, handles token limits effectively, and includes comprehensive evaluation tests.

What is an MCP server?

An MCP (Model Context Protocol) server is a standard that allows LLMs like Claude to securely and effectively interact with external data sources and tools through well-defined interfaces.

Does this skill support both Python and TypeScript?

Yes, it includes specific implementation guides, project structures, and best practices for both Python (using FastMCP) and Node/TypeScript (using the MCP SDK).

What are the Evaluation requirements in this skill?

It requires creating 10 complex, realistic, and read-only question-answer pairs that verify the LLM's ability to use your tools to solve multi-step problems.

MCP Server Builder

Name: MCP Server Builder
Author: mrgoonie

bymrgoonie

•

1,395

API 开发

Standardizes the creation of high-quality Model Context Protocol (MCP) servers for seamless LLM-to-API integration.

关于

This skill provides a comprehensive framework for developing production-grade MCP servers in both Python (FastMCP) and Node/TypeScript. It guides developers through a structured four-phase workflow—Deep Research, Implementation, Review, and Evaluation—emphasizing agent-centric design principles. By focusing on workflow-based tools rather than simple API wrappers, it ensures that AI agents can efficiently interact with external services through well-defined schemas, actionable error messages, and robust evaluation scenarios that optimize for context window constraints.

主要功能

Supports both Python (FastMCP) and Node/TypeScript SDK implementations
Guided workflow from deep API research to evaluation-driven development
Built-in best practices for error handling, pagination, and token management
1,395 GitHub stars
Implements agent-centric design principles for optimized tool performance
Standardized input validation using Pydantic (Python) and Zod (TypeScript)

使用场景

Creating standardized toolsets for LLMs to perform complex database operations
Building custom MCP servers to connect private enterprise APIs to Claude
Developing robust, production-ready integrations with external SaaS platforms

关于

主要功能

Supports both Python (FastMCP) and Node/TypeScript SDK implementations
Guided workflow from deep API research to evaluation-driven development
Built-in best practices for error handling, pagination, and token management
1,395 GitHub stars
Implements agent-centric design principles for optimized tool performance
Standardized input validation using Pydantic (Python) and Zod (TypeScript)

使用场景

Creating standardized toolsets for LLMs to perform complex database operations
Building custom MCP servers to connect private enterprise APIs to Claude
Developing robust, production-ready integrations with external SaaS platforms