What is an MCP server?

An MCP (Model Context Protocol) server is a standard interface that allows AI models like Claude to interact with external tools, databases, and APIs through a unified protocol.

Can I use this to test my servers?

Absolutely. The skill includes a dedicated phase for creating automated evaluations and using the MCP Inspector to verify server functionality and response quality.

What is the benefit of using the MCP Builder skill?

It synthesizes the official protocol specification, SDK documentation, and industry best practices into a step-by-step actionable workflow directly within your development environment.

Does this skill support Python development?

Yes, it provides specific implementation guides for both Python (using FastMCP) and Node/TypeScript environments.

How does this help with tool discoverability?

It provides naming conventions, annotation standards, and documentation patterns that ensure AI agents can easily find and correctly utilize the tools you build.

MCP Server Builder

Name: MCP Server Builder
Author: hongbietcode

byhongbietcode

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API Development

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

About

MCP Server Builder is a specialized skill designed for developers looking to extend Claude's capabilities by building robust Model Context Protocol (MCP) servers. It provides a structured, four-phase workflow—covering deep research, planning, implementation in Python or TypeScript, and rigorous evaluation—ensuring that the resulting servers are discoverable, efficient, and reliable. Whether you are integrating a niche internal API or building a complex service bridge for the public ecosystem, this skill offers the specific best practices and protocol knowledge needed to create production-grade tools that AI agents can navigate with ease.

Key Features

Best practices for actionable error handling and pagination
Guidance on tool naming, discoverability, and context management
Automated evaluation generation to verify server effectiveness
2 GitHub stars
Deep integration with the official MCP specification and documentation
Structured workflow for Python (FastMCP) and Node/TypeScript SDKs

Use Cases

Building a custom MCP server to integrate internal company APIs with Claude
Developing public tools for the MCP ecosystem using TypeScript or Python
Optimizing existing MCP servers for better agent discoverability and performance

About

Key Features

Best practices for actionable error handling and pagination
Guidance on tool naming, discoverability, and context management
Automated evaluation generation to verify server effectiveness
2 GitHub stars
Deep integration with the official MCP specification and documentation
Structured workflow for Python (FastMCP) and Node/TypeScript SDKs

Use Cases

Building a custom MCP server to integrate internal company APIs with Claude
Developing public tools for the MCP ecosystem using TypeScript or Python
Optimizing existing MCP servers for better agent discoverability and performance