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MCP Notebooks

@Neuron1c

代码仓库

基本信息

分类

其他

许可证

Apache-2.0

传输方式

stdio

作者

Neuron1c

关于 MCP Notebooks

Notebook execution MCP server

MCP Notebooks 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-notebooks": {
      "command": "docker",
      "args": [
        "build",
        ".",
        "-t",
        "mcp-notebooks:latest"
      ]
    }
  }
}

MCP Notebooks 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 mcp-notebooks?

mcp-notebooks is an MCP server that enables an LLM to execute code progressively in a Jupyter-like kernel, retaining variables between executions for iterative exploratory data analysis (EDA). It is intended for users comfortable with Docker and willing to accept the current safety risks.

How to use mcp-notebooks?

Build the Docker image from the repository, then add it to your claude_desktop_config.json either via StdIO (docker run) or SSE (docker run on port 3001 plus supergateway). Additional Python libraries can be installed with uv add <package> before building.

Key features of mcp-notebooks

  • Progressive code execution with variable retention in the kernel.
  • Supports both StdIO and SSE transport modes.
  • Runs in a Docker container for isolation.
  • Built‑in kernel persists state across LLM requests.

Use cases of mcp-notebooks

  • Iterative data analysis where the LLM reacts to intermediate results.
  • Rapid prototyping of data‑processing scripts with an AI assistant.
  • Teaching or demonstrating code that depends on previous cell outputs.

常见问题

1

How do I install mcp-notebooks?

Clone the repository and run `docker build . -t mcp-notebooks:latest`. Then configure the server in `claude_desktop_config.json` as shown in the README.

2

What runtime environment is required?

Docker is required; the server is intended to be run inside a Docker container. It is not yet published on DockerHub.

3

How can I add extra Python libraries?

Add libraries with `uv add your-package` before building the Docker image. Recommended packages include numpy, pandas, scikit‑learn, matplotlib, and seaborn.

4

Is mcp-notebooks safe?

The README explicitly warns that it is “pretty dangerous to use in its current state” and strongly recommends running it inside a Docker container for isolation.

5

What transports are supported?

The server supports both StdIO (through a direct Docker command) and SSE (via an HTTP endpoint on port 3001 using `supergateway`).

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