What is an MCP server?

An MCP (Model Context Protocol) server is an open standard that enables LLMs like Claude to securely interact with external data sources, APIs, and local tools.

What are the requirements for a high-quality MCP tool?

A high-quality tool requires clear naming, descriptive input schemas (Zod/Pydantic), actionable error messages, and support for pagination to keep context windows clean.

Why use this skill instead of raw documentation?

It provides a structured, phase-based workflow that incorporates best practices for naming conventions, error handling, and efficient context management that aren't always obvious in basic docs.

Does this skill support Python development?

Yes, it provides detailed implementation patterns for both Python (using FastMCP) and TypeScript (using the official MCP SDK).

How do I test my custom MCP server?

The skill guides you through using the MCP Inspector for interactive debugging and creating a suite of 10 automated evaluation questions to ensure stability.

MCP Server Builder

Name: MCP Server Builder
Author: claudiodearaujo

byclaudiodearaujo

0•

API 开发

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

This skill provides a comprehensive framework for developing Model Context Protocol (MCP) servers, guiding users through deep research, project setup, tool design, and rigorous evaluation. It offers standardized implementation patterns for both TypeScript (MCP SDK) and Python (FastMCP), ensuring that external service integrations are robust, discoverable by AI agents, and optimized for real-world performance. Whether you are building internal API bridges or public-facing tools, this guide ensures your MCP servers follow industry best practices for schema definition, error handling, and context management.

主要功能

010 GitHub stars

02Comprehensive evaluation framework for verifying LLM tool-calling accuracy

03Standardized workflow for tool naming, discoverability, and context management

04Multi-language support for TypeScript (MCP SDK) and Python (FastMCP)

05Integration of MCP Inspector for local testing and debugging

06Automated guidance for schema definition using Zod and Pydantic

使用场景

01Building a custom internal API bridge for Claude to access proprietary data

02Optimizing existing MCP tools for better reliability and agent performance

03Developing a public MCP server for a SaaS product to enable AI-driven automation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/izacenter mcp-builder

For use in Claude.ai and ChatGPT

主要功能

010 GitHub stars

02Comprehensive evaluation framework for verifying LLM tool-calling accuracy

03Standardized workflow for tool naming, discoverability, and context management

04Multi-language support for TypeScript (MCP SDK) and Python (FastMCP)

05Integration of MCP Inspector for local testing and debugging

06Automated guidance for schema definition using Zod and Pydantic

使用场景

01Building a custom internal API bridge for Claude to access proprietary data

02Optimizing existing MCP tools for better reliability and agent performance

03Developing a public MCP server for a SaaS product to enable AI-driven automation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/izacenter mcp-builder

For use in Claude.ai and ChatGPT