MCP.so
登录

Model Context Protocol (MCP) Server

@ellenfel

代码仓库

关于 Model Context Protocol (MCP) Server

Model Context Protocol Server PoC Project

#mcp#mcp-server

基本信息

分类

其他

运行时

node

传输方式

stdio

发布者

ellenfel

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.

评论

其他 分类下的更多 MCP 服务器

Blender

ahujasid

Open-source MCP to use Blender with any LLM

23.6K

MCP Go 🚀

mark3labs

A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.

8.9K

Production-ready MCP integrations for AI applications

Klavis-AI

Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale

5.8K

MaxKB

1Panel-dev

🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。

22.0K

Unity MCP ✨

justinpbarnett

Unity MCP acts as a bridge between AI assistants and your Unity Editor. Give your LLM tools to manage assets, control scenes, edit scripts, and automate tasks within Unity.

12.2K