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Mcd Demo MCP Server

@jspoelstra

代码仓库

基本信息

分类

AI 与智能体

许可证

MIT license

传输方式

stdio

作者

jspoelstra

关于 Mcd Demo MCP Server

Testing creation of simple MCP servers and integrating with LangChain agent

Mcd Demo MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcd-demo": {
      "command": "python3",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Mcd Demo MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

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 mcd-demo?

mcd-demo is a project for testing the creation of simple MCP (Model Context Protocol) servers and integrating them with a LangChain agent. It is aimed at developers experimenting with MCP server implementations and LangChain agent integration.

How to use mcd-demo?

Set up a Python virtual environment, install dependencies from requirements.txt, and configure environment variables for Azure OpenAI API key and endpoint. Then start the three MCP servers (weather_server.py, math_server.py, telemetry_server.py) in the background, optionally running the math server via Docker, and finally launch the agent with python agent.py.

Key features of mcd-demo

  • Demonstrates creation of simple MCP servers
  • Integrates MCP servers with a LangChain agent
  • Includes weather, math, and telemetry server examples
  • Supports running math server in a Docker container
  • Uses SSE transport for MCP server communication

Use cases of mcd-demo

  • Learning how to build and run MCP servers
  • Testing LangChain agent integration with multiple MCP services
  • Experimenting with MCP server deployment (native or Docker)
  • Prototyping multi-server MCP architectures

常见问题

1

What MCP servers are included?

Three servers: weather_server.py, math_server.py, and telemetry_server.py.

2

Can the math server be run in Docker?

Yes, you can build a Docker image with `make build` and run it with `make run-local`.

3

What environment variables are required?

`AZURE_OPENAI_API_KEY` and `AZURE_OPENAI_ENDPOINT` are required. Optionally, `MCP_MATH_URI` can be set to configure the math server URI.

4

How do I stop the MCP servers?

Use `pkill -9 -f <server_script.py>` on each server, e.g., `pkill -9 -f weather_server.py`.

5

Is there a .env file supported?

Yes, variables can be set in a `.env` file in the project root directory.

评论

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