What are the system requirements?

Python 3.10 or higher, MCP SDK 1.2.0 or higher, and the `uv` package manager.

How do I install and run the server?

Add `"mcp[cli]"` to your project with `uv add "mcp[cli]"` or `pip install "mcp[cli]"`. Write a `server.py` file, then run `mcp dev server.py` for interactive testing or `mcp install server.py` to register with Claude Desktop.

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Sample MCP Server

MCP Server Sample

Local serverstdioPython

What is the Sample MCP Server?

MCP Server Sample

What it actually does

This repository contains an implementation of a Model Context Protocol (MCP) server for educational purposes. This code demonstrates how to build a functional MCP server that can integrate with various LLM clients.

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications - it provides a standardized way to connect AI models to different data sources and tools.

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Example prompts to try

“Use Sample to Resources.”
“Use Sample to Tools.”
“Use Sample to Prompts.”

Frequently asked questions

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. It works like a USB‑C port for AI applications, connecting models to data sources and tools.