What is the Model Context Protocol (MCP)?

MCP is an open standard that enables LLMs to securely interact with local or remote data sources and tools through a unified interface, allowing for seamless API integrations.

How do I test my MCP server using this skill?

The skill guides you through using the MCP Inspector to verify tool functionality, debug transport issues, and ensure your server communicates correctly with the protocol.

Does this skill support Python development?

Yes, MCP Builder provides specific implementation guides and best practices for both Python (using FastMCP) and TypeScript (using the official MCP SDK).

Why should I create evaluations for my MCP server?

Evaluations (QA pairs) are critical for ensuring that the LLM can successfully navigate complex tasks using your tools and consistently produce correct results in real-world scenarios.

MCP Builder

Name: MCP Builder
Author: ai-wes

byai-wes

0•

API 개발

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

MCP Builder provides a comprehensive framework and standardized workflow for developing Model Context Protocol (MCP) servers in both TypeScript and Python. It navigates developers through the entire lifecycle of integration—from deep API research and tool design to robust implementation, testing with the MCP Inspector, and the creation of automated evaluations. By following this skill's patterns for error handling, pagination, and structured data, developers can build reliable, production-grade integrations that allow LLMs to interact seamlessly with any external tool or data source.

주요 기능

01Best practice guidance for tool naming, schema design, and context management

02Standardized workflow for end-to-end MCP server development

03Framework for creating verifiable evaluation datasets to ensure server reliability

04Support for both TypeScript (MCP SDK) and Python (FastMCP) implementations

05Integration strategies for MCP Inspector testing and debugging

060 GitHub stars

사용 사례

01Creating robust evaluation suites to measure how effectively an LLM uses a new integration

02Building custom MCP servers to integrate internal company APIs with Claude Code

03Standardizing MCP development across a team to ensure consistent tool quality and documentation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ai-wes/glassbox-operator mcp-builder

For use in Claude.ai and ChatGPT

Download Skill