Does this skill support both Python and TypeScript?

Yes, it provides dedicated guides, project structures, and implementation patterns for both the TypeScript SDK and the Python FastMCP framework.

What is the Model Context Protocol (MCP)?

MCP is an open standard that enables LLMs to securely and consistently interact with external data sources, tools, and services through a unified interface.

How does this skill improve tool discoverability?

It enforces naming conventions and descriptive patterns that help AI models clearly understand the purpose and parameters of each tool, leading to more accurate tool selection.

Can I test my MCP servers with this skill?

The skill guides you through using the MCP Inspector for local testing and helps you create custom XML-based evaluations to verify that LLMs can solve complex, multi-step tasks using your server.

MCP Server Builder

Name: MCP Server Builder
Author: arush361

byarush361

0•

API開発

Guides the development of high-quality Model Context Protocol (MCP) servers to integrate external APIs and services with LLMs.

The mcp-builder skill provides a comprehensive, standardized workflow for creating robust MCP servers in both TypeScript and Python. It streamlines the entire development lifecycle, offering domain-specific guidance on API planning, tool naming conventions, and context management. By following its structured phases—research, implementation, testing, and evaluation—developers can ensure their external services are seamlessly and reliably accessible to Claude through well-designed, discoverable tools.

主な機能

010 GitHub stars

02Standardized development workflows for Python (FastMCP) and TypeScript SDKs

03Automated guidance for implementing core infrastructure and actionable error handling

04Detailed testing strategies using the MCP Inspector for server validation

05Structured evaluation generation to measure LLM tool-calling effectiveness

06Best practices for tool naming, discoverability, and context management

ユースケース

01Standardizing MCP server development patterns across a software engineering team

02Building custom bridges between internal corporate APIs and Claude Code

03Generating rigorous evaluation suites to benchmark AI agent performance on specific toolsets

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add arush361/product-claude-code mcp-builder

For use in Claude.ai and ChatGPT

主な機能

010 GitHub stars

02Standardized development workflows for Python (FastMCP) and TypeScript SDKs

03Automated guidance for implementing core infrastructure and actionable error handling

04Detailed testing strategies using the MCP Inspector for server validation

05Structured evaluation generation to measure LLM tool-calling effectiveness

06Best practices for tool naming, discoverability, and context management

ユースケース

01Standardizing MCP server development patterns across a software engineering team

02Building custom bridges between internal corporate APIs and Claude Code

03Generating rigorous evaluation suites to benchmark AI agent performance on specific toolsets

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add arush361/product-claude-code mcp-builder

For use in Claude.ai and ChatGPT