Model Context Protocol (MCP) Server

@ellenfel

About Model Context Protocol (MCP) Server

Model Context Protocol Server PoC Project

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "model-context-protocol-ellenfel": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Tools

No tools detected

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Overview

What is Model Context Protocol (MCP) Server?

A basic educational implementation of the Model Context Protocol (MCP) in Python. It demonstrates core MCP concepts using FastAPI, WebSockets, and Pydantic for message handling. Designed for learning and experimentation.

How to use Model Context Protocol (MCP) Server?

Create a virtual environment, install dependencies from requirements.txt, start the server with python -m src.server, and run the example client with python examples/basic_usage.py.

Key features of Model Context Protocol (MCP) Server

WebSocket-based communication using FastAPI
Basic MCP message handling with Pydantic models
Support for model context management
Simple client-server interaction with async/await
Pythonic code structure for educational clarity

Use cases of Model Context Protocol (MCP) Server

Learning the Model Context Protocol through hands-on examples
Prototyping simple AI model interaction flows
Testing MCP message format and context management
Comparing Python and TypeScript implementations of MCP

FAQ from Model Context Protocol (MCP) Server

What is the Model Context Protocol?

A communication protocol designed for AI model interactions, including message format handling, context management, and basic protocol operations.

What are the runtime requirements?

Python 3 with a virtual environment, plus FastAPI, Pydantic, and WebSocket support as listed in requirements.txt.

How does this server differ from the TypeScript version?

It uses FastAPI instead of Express, implements async/await for performance, uses Pydantic for validation, and follows more Pythonic patterns.

Frequently asked questions

What is the Model Context Protocol?

A communication protocol designed for AI model interactions, including message format handling, context management, and basic protocol operations.

What are the runtime requirements?

Python 3 with a virtual environment, plus FastAPI, Pydantic, and WebSocket support as listed in `requirements.txt`.

How does this server differ from the TypeScript version?

It uses FastAPI instead of Express, implements async/await for performance, uses Pydantic for validation, and follows more Pythonic patterns.

Comments

Basic information

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