Does this skill support both Python and TypeScript?

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

How do I ensure my MCP server is high-quality?

The skill focuses on four pillars: deep API research, clear tool naming, robust schema validation using Zod or Pydantic, and comprehensive automated evaluations.

What is the MCP Inspector?

The MCP Inspector is a testing tool recommended by this skill to verify your server's functionality and tool definitions before deploying them for use with an LLM.

What is the Model Context Protocol (MCP)?

MCP is an open standard that enables Large Language Models (LLMs) to interact with external services, data, and tools through a unified and secure protocol.

Can I build remote MCP servers with this guide?

Absolutely. It covers different transport mechanisms, including stdio for local development and streamable HTTP for deploying remote, scalable MCP servers.

MCP Server Builder

Name: MCP Server Builder
Author: stevessr

bystevessr

0•

Desarrollo de API

Architects and implements high-quality Model Context Protocol (MCP) servers to bridge the gap between LLMs and external services.

The MCP Server Builder skill provides a comprehensive, phase-based framework for developing robust Model Context Protocol (MCP) servers. It guides developers through deep research, implementation, and rigorous evaluation using both TypeScript (Node.js SDK) and Python (FastMCP) patterns. By emphasizing well-designed tool schemas, actionable error handling, and standardized transport mechanisms like stdio and streamable HTTP, this skill ensures that your integrations are highly discoverable and reliable for Claude and other LLMs. It also includes a dedicated evaluation workflow to verify that your tools can handle complex, real-world tasks through automated QA testing.

Características Principales

01Built-in evaluation framework for creating verifiable QA pairs and testing tool accuracy

02Standardized workflow covering API research, project structure, and core infrastructure

03Optimized tool design patterns for maximum LLM discoverability and performance

040 GitHub stars

05Comprehensive support for TypeScript (Zod) and Python (Pydantic) implementations

06Detailed guidance on transport protocols including stdio for local and HTTP for remote servers

Casos de Uso

01Developing standardized database interfaces for secure data retrieval and manipulation via LLM

02Building custom API connectors to allow Claude to interact with internal business tools

03Creating specialized workflow tools that combine multiple API operations into single, efficient agent actions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add stevessr/dotsfiles mcp-builder

For use in Claude.ai and ChatGPT

Download Skill