What is the MCP Builder skill used for?

It provides a structured guide and best practices for creating Model Context Protocol (MCP) servers that allow LLMs to interact with external APIs and services.

Can I use this for local and remote MCP servers?

Yes, the guide covers transport mechanisms for both stdio (typically used for local servers) and streamable HTTP (used for remote or scalable deployments).

Does this skill support both Python and TypeScript?

Yes, it includes specific architectural patterns and implementation guidance for both Python (FastMCP) and Node/TypeScript SDKs.

How does it help with testing MCP tools?

It includes a dedicated phase for creating structured evaluation QA pairs in XML format to verify that LLMs can accurately use your tools for complex, multi-step tasks.

MCP Server Builder

Name: MCP Server Builder
Author: loiter74

byloiter74

•

API開発

Guides the end-to-end development of high-quality Model Context Protocol (MCP) servers for LLM tool integration.

The mcp-builder skill provides a comprehensive framework for creating robust MCP servers, enabling LLMs to interact seamlessly with external services and APIs. It covers the entire development lifecycle, from initial research into protocol specifications and SDKs (TypeScript and Python) to implementing well-designed tools with actionable error handling. By following this standardized workflow, developers can build servers that maximize agent discoverability, manage context effectively, and include rigorous evaluation suites to ensure reliable performance in real-world scenarios.

主な機能

012 GitHub stars

02Step-by-step MCP implementation workflow for Python and TypeScript

03Guidance on tool naming conventions and API coverage optimization

04Standardized error handling and context management patterns

05Automated documentation retrieval for MCP specifications and SDKs

06Structured evaluation framework for creating verifiable QA test pairs

ユースケース

01Developing and testing the reliability of new toolsets using standardized evaluation protocols

02Building custom MCP servers to connect internal databases to Claude

03Exposing external SaaS APIs as tools for AI agents using TypeScript or Python

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add loiter74/anima-llm-vtuber mcp-builder

For use in Claude.ai and ChatGPT

主な機能

012 GitHub stars

02Step-by-step MCP implementation workflow for Python and TypeScript

03Guidance on tool naming conventions and API coverage optimization

04Standardized error handling and context management patterns

05Automated documentation retrieval for MCP specifications and SDKs

06Structured evaluation framework for creating verifiable QA test pairs

ユースケース

01Developing and testing the reliability of new toolsets using standardized evaluation protocols

02Building custom MCP servers to connect internal databases to Claude

03Exposing external SaaS APIs as tools for AI agents using TypeScript or Python

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add loiter74/anima-llm-vtuber mcp-builder

For use in Claude.ai and ChatGPT