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Jupyter MCP Server logo

Jupyter MCP Server

datalayer/jupyter-mcp-server

An MCP server developed for AI to connect and manage Jupyter Notebooks in real-time — and scale your Code Sandbox from local to the cloud (Datalayer, Kaggle, Google Colab, Modal, Daytona, E2B, CoreWeave, Cloudflare...)

Install

uvx jupyter-mcp-server@latest

Client configuration

{
  "mcpServers": {
    "jupyter": {
      "command": "uvx",
      "args": [
        "jupyter-mcp-server@latest"
      ],
      "env": {
        "JUPYTER_URL": "<JUPYTER_URL>",
        "JUPYTER_TOKEN": "<JUPYTER_TOKEN>",
        "ALLOW_IMG_OUTPUT": "<ALLOW_IMG_OUTPUT>"
      }
    }
  }
}

Environment variables

JUPYTER_URLJUPYTER_TOKENALLOW_IMG_OUTPUT
GitHub stars
241
Category
Research & Data, Developer Tools
License
BSD-3-Clause
Updated
Oct 6, 2026

About Jupyter MCP Server

No process to run. Datalayer now hosts this server for you at https://mcp.datalayer.run/mcp — one endpoint for every agent and every notebook. Sign in from your browser, approve what the agent may do, and your work keeps running on the server after the agent disconnects.

Features

  • Real-time control: Instantly view notebook changes as they happen.

  • Smart execution: Automatically adjusts when a cell run fails thanks to cell output feedback.

  • Context-aware: Understands the entire notebook context for more relevant interactions.

  • Multimodal support: Support different output types, including images, plots, and text.

  • Multi-notebook support: Seamlessly switch between multiple notebooks.

  • JupyterLab integration: Enhanced UI integration like automatic notebook opening.

  • MCP-compatible: Works with any MCP client, such as Claude Desktop, Cursor, Windsurf, and more.

  • Observability: Built-in hook system with OpenTelemetry integration for tracing tool calls and kernel executions.

Tools (3)

  • Notebooks

    open, create and switch between notebooks, list them, read one, restart its kernel, release it.

  • Cells

    read, insert, delete, move, reorder and edit cells, surgically or wholesale, and clear their outputs.

  • Execution

    run a cell or arbitrary code on the active backend, with multimodal output and streaming where the sandbox supports it.

Details on this page are taken from the project's README. Open README

Supported clients

Clients mentioned in this server's README:

View all
Claude Desktop logo

Claude Desktop

Desktop · Freemium · Proprietary

Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.

WindowsMacOS
Cline logo

Cline

Desktop · Free · MIT

An AI coding assistant integrated into the IDE. Supports MCP servers for enhanced functionality.

WindowsMacOSLinux
Cursor logo

Cursor

Desktop · Freemium · Proprietary

The first agentic IDE. The Cursor editor truly merges how developers and AI work together, delivering a magical coding experience.

WindowsMacOSLinux
Windsurf logo

Windsurf

Desktop · Freemium · Proprietary

The first agentic IDE. The Windsurf editor truly merges how developers and AI work together.

WindowsMacOSLinux

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