What makes an MCP server 'high-quality' according to this skill?

A high-quality server features clear tool naming, actionable error messages, efficient context management (pagination/filtering), and comprehensive API coverage.

What is an MCP server?

An MCP (Model Context Protocol) server is a specialized backend that allows AI models like Claude to interact with external tools, services, and data sources through a standardized interface.

Does this handle both local and remote servers?

Yes, the guide covers stdio transport mechanisms for local server development and streamable HTTP for remote, scalable production environments.

How do I test my MCP server using this guide?

The guide walks you through using the MCP Inspector for technical verification and provides a robust evaluation framework for creating XML-based Q&A pairs to test real-world reasoning.

Which programming languages does this skill support?

This skill provides specific implementation guides and best practices for both TypeScript (using the official SDK) and Python (using the FastMCP framework).

MCP Server Builder

Name: MCP Server Builder
Author: partme-ai

bypartme-ai

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API Development

Provides a comprehensive guide and structured workflow for building, testing, and evaluating high-quality Model Context Protocol (MCP) servers.

MCP Server Builder is a specialized Claude Code skill designed to streamline the creation of high-quality Model Context Protocol (MCP) servers, enabling LLMs to interact seamlessly with external services. It offers a structured four-phase workflow—Deep Research, Implementation, Review, and Evaluation—supporting both TypeScript and Python frameworks. By providing language-specific patterns, tool naming conventions, and best practices for context management, this skill ensures that developers can build robust integrations that are easily discoverable and highly effective for AI agents.

Key Features

01Built-in evaluation framework for testing server effectiveness with complex queries

02Structured 4-phase workflow for professional MCP server development

03Guidance on tool naming, discoverability, and context management

04Comprehensive support for both TypeScript (MCP SDK) and Python (FastMCP)

0537 GitHub stars

06Detailed implementation patterns for input/output schemas and error handling

Use Cases

01Creating high-quality evaluation sets to verify AI agent tool-use accuracy and reliability

02Developing a custom MCP server to connect an internal database or API to Claude

03Building an MCP bridge for a SaaS product's REST API using TypeScript or Python

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add partme-ai/full-stack-skills mcp-builder

For use in Claude.ai and ChatGPT

Download Skill