What is an MCP server?

An MCP (Model Context Protocol) server is a standardized interface that allows Large Language Models to interact securely with external services, tools, and data sources through a unified protocol.

What is the purpose of the Evaluation phase?

The evaluation phase ensures your server is production-ready by testing it against 10 complex, realistic questions to verify that the LLM can navigate your API independently and accurately.

Which programming languages does this skill support?

The mcp-builder skill provides detailed, language-specific implementation patterns for both TypeScript (using the MCP SDK) and Python (using the FastMCP framework).

How can I test my MCP server implementation?

The skill guides you through using the MCP Inspector (npx @modelcontextprotocol/inspector) to verify transport mechanisms, tool execution, and resource access.

How does this skill improve tool discoverability?

It implements best practices for tool naming (e.g., action-oriented prefixes), concise descriptions, and structured output schemas that help LLMs identify the correct tool for a specific task.

MCP Server Builder

Name: MCP Server Builder
Author: claudiodearaujo

byclaudiodearaujo

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API Development

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

MCP Server Builder is a comprehensive development framework designed to streamline the creation of Model Context Protocol (MCP) servers. It provides standardized workflows for both TypeScript (MCP SDK) and Python (FastMCP), guiding developers through API research, tool implementation, and rigorous testing. By focusing on clear tool naming, robust schema definitions with Zod or Pydantic, and actionable error handling, this skill ensures that your custom integrations are highly discoverable and reliable for AI agents. It also includes a specialized evaluation module to verify that LLMs can accurately perform complex, multi-step tasks using your server's tools.

Key Features

01Automated evaluation framework for generating verifiable XML-based QA pairs

02Standardized patterns for tool naming, discoverability, and context management

03Schema-driven development using Zod and Pydantic for robust input validation

041 GitHub stars

05Comprehensive implementation guides for Node.js/TypeScript and Python/FastMCP

06Integrated testing protocols using the MCP Inspector and transport debugging

Use Cases

01Building custom API wrappers that allow Claude to interact with internal company databases

02Creating specialized workflow tools for services like GitHub, Jira, or Slack

03Developing production-grade MCP servers with rigorous performance and accuracy evaluations

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro mcp-builder

For use in Claude.ai and ChatGPT

Download Skill