Does this skill help with API research?

Yes, it includes a research phase that guides you through studying protocol documentation, SDKs, and target API specifications before writing code.

Why is agent-centric design important for MCP?

It ensures tools are optimized for how AI models process information, focusing on minimizing context window usage and providing actionable error messages.

What is an MCP server?

An MCP (Model Context Protocol) server is a standardized interface that allows LLMs like Claude to interact with external tools, APIs, and data sources securely.

How do I test my MCP server using this skill?

The skill includes a dedicated evaluation phase where you create XML-based QA pairs to verify that the LLM can successfully use your tools to solve complex tasks.

Which programming languages are supported by this skill?

This skill provides detailed implementation guides and best practices for both Python (using FastMCP) and Node/TypeScript environments.

MCP Server Builder

Name: MCP Server Builder
Author: homveloper

byhomveloper

Desarrollo de API

Guides the creation of high-quality Model Context Protocol (MCP) servers for seamless LLM-to-service integration.

Acerca de

The MCP Server Builder skill provides a structured framework for developers to design, implement, and evaluate Model Context Protocol servers. It emphasizes agent-centric design principles, ensuring tools are optimized for LLM context windows, actionable error handling, and realistic workflow automation. Whether using Python (FastMCP) or Node/TypeScript (MCP SDK), this skill directs users through the entire lifecycle of MCP development, from deep API research to creating comprehensive evaluation harnesses to verify tool performance in real-world scenarios.

Características Principales

Automated documentation fetching for MCP protocols and SDKs
Comprehensive error handling and response formatting guidelines
Step-by-step workflows for Python (FastMCP) and TypeScript implementations
Agent-centric design principles for optimized LLM tool interaction
0 GitHub stars
Standardized evaluation framework for testing server effectiveness with QA pairs

Casos de Uso

Creating specialized data retrieval tools for technical domain expertise
Building custom bridges between internal enterprise APIs and Claude Code
Developing standardized service integrations using the Model Context Protocol

Acerca de

Características Principales

Automated documentation fetching for MCP protocols and SDKs
Comprehensive error handling and response formatting guidelines
Step-by-step workflows for Python (FastMCP) and TypeScript implementations
Agent-centric design principles for optimized LLM tool interaction
0 GitHub stars
Standardized evaluation framework for testing server effectiveness with QA pairs

Casos de Uso

Creating specialized data retrieval tools for technical domain expertise
Building custom bridges between internal enterprise APIs and Claude Code
Developing standardized service integrations using the Model Context Protocol