What is the primary purpose of the MCP Server Builder skill?

It serves as a specialized guide to help developers create Model Context Protocol (MCP) servers that allow LLMs to interact with external services through well-designed, discoverable tools.

Can I use this skill to test my MCP implementation?

Yes, it includes specific phases for testing with the MCP Inspector and a framework for creating 10-point XML evaluation suites to verify LLM performance.

What transport mechanisms are covered?

The guide covers both stdio for local server development and streamable HTTP for remote, scalable server architectures.

Does this skill support both Python and TypeScript?

Yes, it provides detailed implementation guides, project structures, and best practices for both the TypeScript SDK and the Python (FastMCP) framework.

How does it help improve tool quality for AI agents?

The skill emphasizes clear naming conventions, comprehensive API coverage, actionable error messages, and structured outputs to ensure AI models can easily discover and utilize the tools.

MCP Server Builder

Name: MCP Server Builder
Author: partme-ai

bypartme-ai

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API 개발

Guides the end-to-end development of high-quality Model Context Protocol (MCP) servers to bridge LLMs with external APIs and services.

소개

The MCP Server Builder skill provides a comprehensive architectural framework for developers to create, test, and evaluate Model Context Protocol servers. It streamlines the implementation process by offering domain-specific guidance for both TypeScript and Python environments, emphasizing tool discoverability, efficient context management, and robust error handling. Whether building local integrations via stdio or remote services via HTTP, this skill ensures that MCP tools are optimized for AI agent performance through structured implementation patterns and automated evaluation strategies.

주요 기능

Optimized tool naming and discoverability strategies for AI agents
Built-in guidance for MCP Inspector testing and debugging
Comprehensive workflows for Python (FastMCP) and TypeScript SDKs
Automated evaluation framework for verifying tool effectiveness
Standardized project structure and core infrastructure blueprints
37 GitHub stars

사용 사례

Building custom toolsets to give Claude access to internal company APIs
Creating standardized interfaces for third-party SaaS platform integrations
Developing production-ready MCP servers with comprehensive QA evaluation suites

소개

주요 기능

Optimized tool naming and discoverability strategies for AI agents
Built-in guidance for MCP Inspector testing and debugging
Comprehensive workflows for Python (FastMCP) and TypeScript SDKs
Automated evaluation framework for verifying tool effectiveness
Standardized project structure and core infrastructure blueprints
37 GitHub stars

사용 사례

Building custom toolsets to give Claude access to internal company APIs
Creating standardized interfaces for third-party SaaS platform integrations
Developing production-ready MCP servers with comprehensive QA evaluation suites