What is the purpose of the Evaluation Phase in this skill?

It guides you through creating 10 complex, realistic Q&A pairs in XML format to verify that your MCP server reliably provides the data needed for LLMs to solve real-world problems.

How does this skill help with tool discoverability?

It enforces consistent naming conventions and descriptive metadata standards that help LLMs correctly identify and invoke the right tools for a given task.

What languages does the MCP Builder skill support?

It provides comprehensive guides and implementation patterns for both TypeScript (using the official MCP SDK) and Python (using FastMCP).

Can I build both local and remote MCP servers?

Yes, the guide covers transport mechanisms for both local stdio connections (ideal for local IDE use) and remote streamable HTTP servers (ideal for scaling).

Does it support schema validation?

Yes, it provides patterns for using Zod (TypeScript) and Pydantic (Python) to ensure robust input and output validation for every tool your server provides.

MCP Server Builder

Name: MCP Server Builder
Author: kaodean

bykaodean

API Development

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

About

The MCP Server Builder skill provides a comprehensive framework for creating robust, production-ready MCP servers using TypeScript or Python. It streamlines the entire development lifecycle—from initial API research and transport selection (stdio or streamable HTTP) to implementing schema-validated tools and creating rigorous evaluation sets. By following these standardized patterns for naming, pagination, and error handling, developers can ensure their tools are highly discoverable and reliable for Claude and other LLM agents within the MCP ecosystem.

Key Features

Framework for creating verifiable, complex evaluation sets to test server effectiveness
Implementation patterns for Zod and Pydantic input/output schema validation
0 GitHub stars
Standardized project scaffolding for TypeScript (SDK) and Python (FastMCP)
Best practices for tool naming, discoverability, and context management
Guidance on transport protocol selection between stdio and streamable HTTP

Use Cases

Building custom integrations to connect proprietary internal APIs to Claude Code
Optimizing existing toolsets with better error handling and pagination for LLM agents
Developing high-quality public MCP servers for SaaS platforms using standardized SDKs

About

Key Features

Framework for creating verifiable, complex evaluation sets to test server effectiveness
Implementation patterns for Zod and Pydantic input/output schema validation
0 GitHub stars
Standardized project scaffolding for TypeScript (SDK) and Python (FastMCP)
Best practices for tool naming, discoverability, and context management
Guidance on transport protocol selection between stdio and streamable HTTP

Use Cases

Building custom integrations to connect proprietary internal APIs to Claude Code
Optimizing existing toolsets with better error handling and pagination for LLM agents
Developing high-quality public MCP servers for SaaS platforms using standardized SDKs