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MCP MCP Projects

@manojshipra

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manojshipra

MCP MCP Projects について

In this Repo I am learning and practically implementing MCP clients and servers in python.

MCP MCP Projects 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": {
    "MCP-Model-Context-Protocol-Projects": {
      "command": "python3",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

MCP MCP Projects 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 MCP-Model-Context-Protocol-Projects?

MCP-Model-Context-Protocol-Projects is a multimodal assistant client built on the Model-Context-Protocol (MCP) framework. It provides tools for executing Python code in a sandboxed environment, querying live weather via Server-Sent Events (SSE), and interacting with MCP servers through a Streamlit-based user interface.

How to use MCP-Model-Context-Protocol-Projects?

After cloning the repository and installing dependencies with pip install -r requirements.txt, create a .env file in the mcp-client folder containing your GROQ_API_KEY. Run the weather SSE tool from the mcp-server folder with python3 weather.py, or launch the interactive UI from the mcp-client folder with streamlit run main.py.

Key features of MCP-Model-Context-Protocol-Projects

  • Weather SSE Tool for live weather updates.
  • Streamlit front-end for querying MCP servers.
  • Python Executor for sandboxed code execution.
  • Relies on the Model-Context-Protocol framework.

Use cases of MCP-Model-Context-Protocol-Projects

  • Query live weather data streamed via MCP SSE servers.
  • Execute isolated Python code through MCP’s sandbox tool.
  • Interact with MCP servers using an intuitive Streamlit UI.
  • Prototype multimodal AI assistants that combine code and data.

よくある質問

1

What prerequisites are needed to run MCP-Model-Context-Protocol-Projects?

You need Python 3.9 or later, `pip`, and a valid Groq API key.

2

How do I configure my API key?

Create a `.env` file in the `mcp-client` folder containing `GROQ_API_KEY=your_groq_api_key_here`.

3

How do I run the weather SSE tool?

Navigate to the `mcp-server` folder and execute `python3 weather.py`.

4

How do I launch the Streamlit UI?

From the `mcp-client` folder, run `streamlit run main.py`.

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