Can I use this for Node.js or TypeScript?

Absolutely. It provides full implementation patterns for Node.js and TypeScript development using the official MCP TypeScript SDK and Zod schemas.

What are agent-centric design principles?

They are strategies to optimize tools specifically for LLMs, focusing on concise data output, actionable error messages, and task-oriented workflows rather than simple API wrapping.

Does this skill support Python development?

Yes, it includes specialized guidance for Python using the FastMCP framework and Pydantic for robust data validation.

What is an MCP server?

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

How does it help with testing my MCP tools?

The skill includes a dedicated evaluation phase for creating test questions and XML-based QA pairs to ensure your MCP tools work reliably in real-world scenarios.

MCP Server Builder

Name: MCP Server Builder
Author: zsutxz

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API 개발

Guides the end-to-end development of high-quality Model Context Protocol (MCP) servers for both Python and TypeScript environments.

소개

This skill empowers developers to build robust Model Context Protocol (MCP) servers that allow Claude and other LLMs to interact seamlessly with external APIs and services. It provides a structured workflow covering agent-centric design principles, implementation strategies using Python (FastMCP) or Node.js (MCP SDK), and rigorous evaluation methods. By following this guide, users can create tools optimized for AI context windows with clear error handling, efficient data formatting, and reliable task performance through evaluation-driven development.

주요 기능

Automated retrieval of latest MCP protocol documentation
Python (FastMCP) and TypeScript (MCP SDK) implementation patterns
0 GitHub stars
Agent-centric design principles for tool optimization
Standardized input validation with Pydantic and Zod
Comprehensive evaluation framework for testing server effectiveness

사용 사례

Developing custom API integrations for AI agents and workflows
Building an MCP server to connect an internal database to Claude
Improving the performance of existing LLM tools through better context management

소개

주요 기능

Automated retrieval of latest MCP protocol documentation
Python (FastMCP) and TypeScript (MCP SDK) implementation patterns
0 GitHub stars
Agent-centric design principles for tool optimization
Standardized input validation with Pydantic and Zod
Comprehensive evaluation framework for testing server effectiveness

사용 사례

Developing custom API integrations for AI agents and workflows
Building an MCP server to connect an internal database to Claude
Improving the performance of existing LLM tools through better context management