広告掲載
MCP.so
ログイン

Mcd Demo MCP Server

@jspoelstra

リポジトリ

基本情報

カテゴリ

AI とエージェント

ライセンス

MIT license

トランスポート

stdio

作者

jspoelstra

Mcd Demo MCP Server について

Testing creation of simple MCP servers and integrating with LangChain agent

Mcd Demo MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

Mcd Demo MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

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.

コメント

「AI とエージェント」の他のコンテンツ

Rumoro

@Rumoro

Social listening for AI agents. Rumoro's remote MCP server lets Claude, Cursor, Codex and other MCP clients search and sort mentions of your product, your competitors and your topics on Reddit, X, Hacker News, GitHub, Yo

Simplepages

Simplepages

Build and edit landing pages and websites from your AI assistant, and pull how they are performing.

OpenZiti MCP Gateway

openziti

NetFoundry MCP Gateway enables secure, isolated access to Model Context Protocol (MCP) tools across distributed systems without exposing public endpoints. Zero trust gateway for MCP servers. Aggregate, filter, and secure

48

imageat

incendies

Official MCP server for imageat — AI image and video generation for AI assistants. Generate images and videos, and use 20+ editing tools (background remove/replace, inpainting, object eraser, relight, virtual try-on) dir

SlopIt

SimbaStack

Instant blogs for AI agents: a publishing CMS with no dashboard. One signup call returns a blog, an API key and a live URL; then publish markdown posts and get public URLs back.

広告掲載