Which language should I use for MCP development?

TypeScript is generally recommended for production-grade servers due to robust SDK support, while Python is excellent for data science and quick CLI integrations.

What is the difference between a Tool and a Resource?

Tools are executable functions that Claude calls to perform actions, while Resources are data sources (like files or API responses) that Claude can read as context.

How do I test my custom MCP server?

You can use the official MCP Inspector utility (npx @modelcontextprotocol/inspector) to manually test tool calls and resource reading before deployment.

What is an MCP Server?

An MCP (Model Context Protocol) server is a standardized integration that allows Claude to securely interact with local tools, external APIs, and data resources.

How do I optimize tools for Claude Code auto-discovery?

Use descriptive tool names and include specific keywords in the description to help the MCPSearch utility find your tools when context usage is high.

MCP Server Building

Name: MCP Server Building
Author: yonatangross

byyonatangross

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API Development

Build custom Model Context Protocol (MCP) servers to extend Claude with external tools, data resources, and specialized prompts.

About

The MCP Server Building skill provides a comprehensive framework for extending Claude's capabilities through the Model Context Protocol. It offers production-ready implementation patterns for both Python and TypeScript, guiding developers through the creation of custom tools, resources, and prompt templates. Whether you are integrating internal APIs, building database explorers, or optimizing tool discovery for high-context environments, this skill ensures your Claude extensions are performant, secure, and easy for the model to navigate.

Key Features

29 GitHub stars
TypeScript and Python SDK implementation patterns
Comprehensive error handling and rate-limiting patterns
Tool, Resource, and Prompt primitive definitions
Advanced transport options including stdio and SSE
Auto-discovery optimization for Claude Code CC 2.1.7

Use Cases

Creating reusable tool packages for local development environments
Connecting internal proprietary APIs and databases to Claude Desktop
Building domain-specific toolsets for automated DevOps or data analysis

About

Key Features

29 GitHub stars
TypeScript and Python SDK implementation patterns
Comprehensive error handling and rate-limiting patterns
Tool, Resource, and Prompt primitive definitions
Advanced transport options including stdio and SSE
Auto-discovery optimization for Claude Code CC 2.1.7

Use Cases

Creating reusable tool packages for local development environments
Connecting internal proprietary APIs and databases to Claude Desktop
Building domain-specific toolsets for automated DevOps or data analysis