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Jupythunder MCP Server

@kbsooo

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カテゴリ

その他

トランスポート

stdio

作者

kbsooo

投稿者

Byungsoo Kang

Jupythunder MCP Server について

概要はまだありません

#mathgpt#math-solver#math-assistant

Jupythunder 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": {
    "jupythunder": {
      "command": "/absolute/path/python",
      "args": [
        "/absolute/path/jupythunder_server.py"
      ]
    }
  }
}

Jupythunder 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 Jupythunder?

Jupythunder is a middleware that connects the LLM chat interface (Claude) with Jupyter Notebook. It allows users to interact with Jupyter Notebook using natural language, converting natural language requests into Python code and executing it remotely.

How to use Jupythunder?

Install prerequisites (Python 3.10+, Jupyter Notebook, Claude for Desktop), clone the repository, and install dependencies. Run the Jupyter notebook server and the MCP server, then configure Claude for Desktop with absolute paths to Python and jupythunder_server.py. Use commands like /notebook:name to create notebooks, /open:name to open existing ones, and natural language instructions for data analysis, code execution, and querying.

Key features of Jupythunder

  • Natural language code conversion by LLM
  • Remote Jupyter Notebook connection via URL/token
  • Code execution and result retrieval
  • Function/variable queries via /question command
  • Session state and connection management
  • Notebook file creation, opening, and saving
  • Natural language data analysis and visualization
  • Cell content viewing, selective execution, and sequential execution

Use cases of Jupythunder

  • Perform data analysis by describing steps in natural language
  • Automate Python coding without manual notebook interaction
  • Query and debug notebook functions and variables conversationally
  • Create and manage .ipynb files remotely through chat
  • Execute cells selectively or sequentially for iterative workflows

よくある質問

1

What is Jupythunder and how does it differ from other Jupyter tools?

Jupythunder is a middleware that links Claude (an LLM chat interface) directly to a Jupyter Notebook server, enabling natural language commands for coding and analysis instead of manual notebook editing.

2

What are the runtime dependencies for Jupythunder?

Python 3.10+, Jupyter Notebook, Claude for Desktop (or another MCP client), and Python packages: `mcp[cli]>=1.5.0`, `requests>=2.31.0`, `websocket-client>=1.6.0`, `python-dotenv>=1.0.0`, `urllib3>=2.0.0`.

3

Where does data live when using Jupythunder?

Data and notebooks reside on the remote Jupyter Notebook server; Jupythunder connects to that server via a provided URL and token, executes code, and saves results there.

4

What are known limitations or common errors?

The most common error is `spawn pythonENOENT` when the Python executable path is not found; use absolute paths or `python3`. Jupyter connection fails if the server is not running or the URL/token is incorrect. Notebook creation may fail due to permissions or invalid names.

5

What transport and authentication does Jupythunder use?

Jupythunder uses the MCP (Model Context Protocol) for communication with Claude and connects to Jupyter via HTTP/WebSocket using a user-provided URL and token for authentication.

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