What is an MCP server?

An MCP (Model Context Protocol) server is a standard interface that allows AI models like Claude to interact with external tools, APIs, and data sources securely.

How do I test my MCP server with this skill?

The skill provides a dedicated evaluation phase (Phase 4) to create realistic QA pairs and testing scenarios to ensure the LLM can use your tools effectively.

Does this skill support Python and TypeScript?

Yes, mcp-builder includes specific guides and best practices for both Python (using FastMCP) and Node/TypeScript implementations.

What makes an MCP server 'high-quality'?

Quality is defined by agent-centric design: tools that focus on workflows rather than endpoints, provide concise context, and offer actionable error messages.

MCP Server Builder

Name: MCP Server Builder
Author: CongDon1207

byCongDon1207

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API開発

Streamlines the creation of high-quality Model Context Protocol (MCP) servers with standardized workflows for Python and TypeScript.

概要

The mcp-builder skill provides a comprehensive, four-phase framework for developing robust MCP servers that enable LLMs to interact effectively with external services. It guides developers through agent-centric design principles, systematic implementation using Python (FastMCP) or TypeScript SDKs, and rigorous evaluation-driven testing. By focusing on workflow-based tool design rather than simple API wrapping, this skill ensures that your MCP servers are optimized for limited context windows and provide actionable feedback for AI agents.

主な機能

Agent-centric design principles for optimized context management
Guidance on schema validation using Pydantic and Zod
Support for both Python (FastMCP) and Node/TypeScript implementations
Integrated evaluation framework for testing tool effectiveness
Standardized 4-phase development workflow for MCP servers
1 GitHub stars

ユースケース

Creating production-grade MCP tools with standardized error handling and pagination
Optimizing existing API wrappers for better performance with AI agents
Building custom MCP servers to integrate internal company APIs with Claude

概要

主な機能

Agent-centric design principles for optimized context management
Guidance on schema validation using Pydantic and Zod
Support for both Python (FastMCP) and Node/TypeScript implementations
Integrated evaluation framework for testing tool effectiveness
Standardized 4-phase development workflow for MCP servers
1 GitHub stars

ユースケース

Creating production-grade MCP tools with standardized error handling and pagination
Optimizing existing API wrappers for better performance with AI agents
Building custom MCP servers to integrate internal company APIs with Claude