Jupyter Notebook 是数据科学家最常用的工具之一，它提供了一个交互式的环境，使其可以方便地进行数据分析、可视化、机器学习等探索性任务。然而，由于Notebook自身的格式限制，使得其难以像纯文本文件（如Markdown、Python文件）一样被AI直接理解。
Jupyter Mcp Server is an MCP project maintained in the chengjiale150/jupyter-mcp-server repository. The maintainer describes its purpose as “Jupyter Notebook 是数据科学家最常用的工具之一，它提供了一个交互式的环境，使其可以方便地进行数据分析、可视化、机器学习等探索性任务。然而，由于Notebook自身的格式限制，使得其难以像纯文本文件（如Markdown、Python文件）一样被AI直接理解。”. Read the project documentation for the complete scope.
The documented pypi package is better-jupyter-mcp-server. The configuration below comes from the maintainer’s example; adapt its paths and account values to your environment.
The example declares ALLOW_IMG. Secret-looking values have been replaced with placeholders. Required and optional labels are shown only when the documentation states them.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
{
"mcpServers": {
"Jupyter-MCP-Server": {
"command": "uvx",
"args": [
"better-jupyter-mcp-server"
],
"env": {
"ALLOW_IMG": "true"
},
"transport": "stdio"
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| ALLOW_IMG | Declared in the maintainer’s client configuration. | Check documentation |
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
Runs Python code locally within an interactive REPL environment.
Executes Python code within ephemeral Daytona sandboxes, facilitating tasks such as code execution, file manipulation, and web server previewing.
Enables Claude to manage software development projects with project context awareness and code execution via Docker.
Give your agent a persistent workspace: files, a code sandbox and a public URL to publish to.
Build Apps and run code in 30 languages — sandboxed, with persistent sessions for agent loops.