Record · jupyter-mcp-MCP serverOpen sourceVerified Sep 23, 2026

Jupyter MCP Server

Let AI agents read, edit and run Jupyter notebooks in real time, locally or in hosted sandboxes.

Sources and review

Checked against public documentation on September 23, 2026. Suitability guidance is our editorial judgment; this is not a performance benchmark or an endorsement.

Best for

Data work where an agent should run code and inspect results in a notebook you can watch.

About Jupyter MCP Server

Datalayer's Jupyter MCP Server connects agents to Jupyter notebooks so they can add, edit and execute cells and read outputs in real time, against any Jupyter server you run, from a laptop to JupyterHub, or remote sandboxes. It is BSD-licensed and needs no account; Datalayer also offers a hosted endpoint and a Claude Code plugin.

Jupyter MCP Server is an open-source project written primarily in Python, with 1.3k stars on GitHub. It was last updated in September 2026.

Add Jupyter MCP Server to your MCP client

Generated from the launch command in the project's README. Your client starts the server on demand. Replace <your-token> with your own value first.

Claude CodeRun in your terminal

claude mcp add jupyter-mcp-server -e JUPYTER_URL=http://localhost:8888 -e 'JUPYTER_TOKEN=<your-token>' -- uvx jupyter-mcp-server@latest

Cursor~/.cursor/mcp.json or .cursor/mcp.json

{
  "mcpServers": {
    "jupyter-mcp-server": {
      "command": "uvx",
      "args": ["jupyter-mcp-server@latest"],
      "env": {
        "JUPYTER_URL": "http://localhost:8888",
        "JUPYTER_TOKEN": "<your-token>"
      }
    }
  }
}

VS Code.vscode/mcp.json

{
  "servers": {
    "jupyter-mcp-server": {
      "type": "stdio",
      "command": "uvx",
      "args": ["jupyter-mcp-server@latest"],
      "env": {
        "JUPYTER_URL": "http://localhost:8888",
        "JUPYTER_TOKEN": "<your-token>"
      }
    }
  }
}

Claude Desktopclaude_desktop_config.json

{
  "mcpServers": {
    "jupyter-mcp-server": {
      "command": "uvx",
      "args": ["jupyter-mcp-server@latest"],
      "env": {
        "JUPYTER_URL": "http://localhost:8888",
        "JUPYTER_TOKEN": "<your-token>"
      }
    }
  }
}

Codex~/.codex/config.toml

[mcp_servers.jupyter-mcp-server]
command = "uvx"
args = ["jupyter-mcp-server@latest"]
env = { JUPYTER_URL = "http://localhost:8888", JUPYTER_TOKEN = "<your-token>" }

Check the project's README for required accounts, keys and permissions before connecting. Setup guide for each client →

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