How does it handle server testing?

It provides a dedicated phase for creating XML-based evaluations and suggests using evaluation harnesses to test servers without hanging the main process.

Can I use this to debug my current Claude Desktop MCP settings?

No, this skill is focused on the creation and implementation of MCP servers. It is not intended for configuring or debugging the Claude Desktop client connections.

What languages does the mcp-builder support?

The skill supports Python development using the FastMCP framework and Node.js/TypeScript development using the official MCP TypeScript SDK.

Does it help with API design?

Yes, it uses agent-centric design principles to help you group API calls into logical, high-signal tools that are easier for LLMs to use effectively.

MCP Server Builder

Name: MCP Server Builder
Author: wunki

bywunki

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API Development

Builds and scaffolds custom Model Context Protocol (MCP) servers to integrate third-party APIs and services with LLMs.

MCP Server Builder is a comprehensive skill designed to streamline the creation of Model Context Protocol (MCP) servers using Python (FastMCP) or Node/TypeScript. It guides developers through the entire development lifecycle—from deep API research and agent-centric tool design to implementation, testing, and the creation of robust evaluation frameworks. Whether you are scaffolding a new integration for a proprietary service or extending an existing server with sophisticated new tools, this skill ensures your implementations follow industry best practices for high-quality, reliable LLM interactions.

Key Features

01Scaffolds MCP servers in Python (FastMCP) and Node/TypeScript (MCP SDK)

02Provides standardized templates for tool registration, Zod/Pydantic validation, and error handling

0317 GitHub stars

04Integrates latest MCP protocol specifications and documentation during the build process

05Implements agent-centric design principles to optimize tools for AI workflows

06Generates comprehensive, verifiable evaluation suites to test LLM performance

Use Cases

01Building a suite of read-only evaluations to verify the accuracy of an MCP toolset

02Creating a new MCP server to expose internal company APIs to Claude

03Adding complex, multi-step tools to an existing TypeScript-based MCP integration

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add wunki/amplify mcp-builder

For use in Claude.ai and ChatGPT

Download Skill