Does this skill support both Python and TypeScript?

Yes, it provides specific implementation guides for the TypeScript SDK and the Python FastMCP framework, including project structure and code patterns for both.

What is an MCP server?

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

How do I test my MCP server during development?

The guide recommends using the MCP Inspector (npx @modelcontextprotocol/inspector) to verify tool functionality and transport layers.

What are the key phases of MCP development covered?

The skill breaks development into four phases: Deep Research and Planning, Implementation of Tools and Infrastructure, Review and Testing, and Creating Evaluations.

MCP Server Builder

Name: MCP Server Builder
Author: claudiodearaujo

byclaudiodearaujo

API Development

Architects and implements high-quality Model Context Protocol (MCP) servers for seamless LLM integration with external APIs and services.

About

The MCP Server Builder skill provides a comprehensive, four-phase workflow for developing robust Model Context Protocol servers in both Python (FastMCP) and TypeScript (MCP SDK). It guides developers through deep research, implementation of core infrastructure, tool schema design using Zod or Pydantic, and rigorous evaluation. By following this standardized approach, you can ensure your MCP servers offer high discoverability, actionable error handling, and optimized context management, enabling AI agents to interact effectively with complex external environments.

Key Features

Comprehensive guidance on transport mechanisms like stdio and streamable HTTP
Cross-language support for both TypeScript and Python MCP SDKs
Structured tool design patterns including naming conventions and schema validation
Integrated evaluation framework for testing LLM tool-calling performance
0 GitHub stars
Built-in best practices for pagination, error handling, and context management

Use Cases

Connecting internal company databases and APIs to Claude for automated data analysis
Building standardized connectors for third-party SaaS platforms like GitHub or Slack
Developing local developer utilities that expose system resources to AI agents via stdio

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/izacenter mcp-builder

For use in Claude.ai and ChatGPT

Download Skill

GitHub