What is an MCP server?

A Model Context Protocol (MCP) server is a specialized bridge that allows Large Language Models like Claude to securely interact with external data sources, APIs, and local tools.

Why are tool annotations like 'readOnly' important?

Annotations help the LLM understand the impact of a tool, such as whether it will modify data (destructive) or if it can be safely retried (idempotent), improving safety and reliability.

Which programming languages does the MCP Builder skill support?

This skill provides detailed implementation patterns for both TypeScript (using the official MCP SDK) and Python (utilizing FastMCP).

How do I test my newly created MCP server?

The skill recommends using the @modelcontextprotocol/inspector for TypeScript projects or python -m py_compile for Python projects to ensure syntax and protocol compliance.

MCP Server Builder

Name: MCP Server Builder
Author: plurigrid

byplurigrid

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API開発

Architects and implements high-quality Model Context Protocol (MCP) servers to bridge LLMs with external APIs and services.

概要

This skill provides a comprehensive framework for developing MCP servers, ensuring seamless integration between Claude and external data sources or tools. It guides users through the entire development lifecycle—from initial research and protocol study to implementation in TypeScript or Python, rigorous testing with the MCP Inspector, and the creation of evaluation pairs. By enforcing best practices in tool naming, schema definition using Zod or Pydantic, and transport selection, it helps developers build robust, scalable interfaces that enhance an AI's functional capabilities and workflow automation.

主な機能

Advanced tool design guidance using Zod and Pydantic schemas
Automated evaluation generation for verifying server reliability
Standardized MCP server architecture for TypeScript and Python
2 GitHub stars
Integrated testing and debugging strategies via MCP Inspector
Detailed transport mechanism setup for stdio and HTTP

ユースケース

Building specialized GitHub or database connectors for AI-driven automation
Integrating internal enterprise APIs with Claude for custom workflows
Standardizing communication between LLMs and legacy software systems

概要

主な機能

Advanced tool design guidance using Zod and Pydantic schemas
Automated evaluation generation for verifying server reliability
Standardized MCP server architecture for TypeScript and Python
2 GitHub stars
Integrated testing and debugging strategies via MCP Inspector
Detailed transport mechanism setup for stdio and HTTP

ユースケース

Building specialized GitHub or database connectors for AI-driven automation
Integrating internal enterprise APIs with Claude for custom workflows
Standardizing communication between LLMs and legacy software systems