Jupyter MCP Server

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Read, edit and execute cells in live Jupyter notebooks from your AI assistant.

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uvx jupyter-mcp-server@latest

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mcp.tc/i/jupyter

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Connects an AI assistant to Jupyter notebooks in real time. The assistant can work with notebook cells, edit and document them, and run code for data analysis and visualization. It can target a local JupyterLab or JupyterHub, or cloud code sandboxes.

It runs locally with uvx jupyter-mcp-server@latest, pointed at a running Jupyter server through JUPYTER_URL and JUPYTER_TOKEN. Datalayer also hosts an endpoint at https://mcp.datalayer.run/mcp that uses OAuth sign-in with scoped permissions. The project is BSD-3-Clause licensed.

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  • Read and edit cells in live Jupyter notebooks
  • Execute code cells and get the results
  • Document and analyze data inside notebooks
  • Connect to a local JupyterLab or JupyterHub
  • Use the hosted Datalayer endpoint with OAuth sign-in
  • Scale code sandboxes from local to cloud providers

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  • Open my analysis notebook and summarize what each cell does

  • Add a cell that plots monthly sales from the dataframe and run it

  • Fix the failing cell in my notebook and re-execute it

  • Write markdown documentation for the cells in this notebook

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Claude Code

  1. Run this in a terminal, in your project folder:
claude mcp add --transport stdio jupyter -- uvx jupyter-mcp-server@latest
  1. Start Claude Code and type /mcp. jupyter should show as connected.

Add --scope user to make it available in every project.

Claude Desktop

  1. Open Settings → Developer → Edit Config. It opens claude_desktop_config.json. Add:
claude_desktop_config.json
{
  "mcpServers": {
    "jupyter": {
      "command": "uvx",
      "args": [
        "jupyter-mcp-server@latest"
      ]
    }
  }
}
  1. Save the file and restart Claude Desktop.

Needs uv (Python) on your computer. The file lives in ~/Library/Application Support/Claude/ on macOS and %APPDATA%\Claude\ on Windows.

Cursor

Add to Cursor a11y.new_tab

Or add it by hand to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (this project):

mcp.json
{
  "mcpServers": {
    "jupyter": {
      "command": "uvx",
      "args": [
        "jupyter-mcp-server@latest"
      ]
    }
  }
}

Needs uv (Python) on your computer.

VS Code

Install in VS Code a11y.new_tab

Or from a terminal:

code --add-mcp '{"name":"jupyter","type":"stdio","command":"uvx","args":["jupyter-mcp-server@latest"]}'

Or commit it to the repo in .vscode/mcp.json:

.vscode/mcp.json
{
  "servers": {
    "jupyter": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "jupyter-mcp-server@latest"
      ]
    }
  }
}

Needs uv (Python) on your computer.

Devin Desktop

  1. Add it to ~/.config/devin/mcp_config.json (macOS and Linux) or %APPDATA%\devin\mcp_config.json (Windows):
mcp_config.json
{
  "mcpServers": {
    "jupyter": {
      "command": "uvx",
      "args": [
        "jupyter-mcp-server@latest"
      ]
    }
  }
}
  1. Refresh the MCP server list in Cascade.

Devin Desktop is the new name for Windsurf.

Codex

codex mcp add jupyter -- uvx jupyter-mcp-server@latest

Or edit ~/.codex/config.toml directly:

config.toml
[mcp_servers.jupyter]
command = "uvx"
args = ["jupyter-mcp-server@latest"]

Needs uv (Python) on your computer.

Gemini CLI

gemini mcp add jupyter uvx jupyter-mcp-server@latest

This adds it to the current project. Add -s user to use it everywhere.

Any client

Most clients that start local servers accept this shape:

{
  "mcpServers": {
    "jupyter": {
      "command": "uvx",
      "args": [
        "jupyter-mcp-server@latest"
      ]
    }
  }
}

Zed puts servers under context_servers in its settings, with the same command, args and env fields.

Needs uv (Python) on your computer.

listing.faq

Can I paste mcp.tc/i/jupyter into my MCP client?

No. Jupyter MCP Server runs on your own computer, started by your client, so it has no web address to connect to. The quick link is the page to share; the install command is uvx jupyter-mcp-server@latest.

Does Jupyter MCP Server need an API key?

No. It doesn't declare any keys or environment variables. It runs with your user account's permissions, so check what its tools can reach.

Is Jupyter MCP Server a remote or a local server?

Local. Your client starts it as a process on your computer with uvx jupyter-mcp-server@latest, which needs uv (Python).

What can Jupyter MCP Server do?

You can read and edit cells in live Jupyter notebooks, execute code cells and get the results and document and analyze data inside notebooks.

Which clients can use it?

Any client that starts local servers: Claude Code, Claude Desktop, Cursor, VS Code, Devin Desktop, Codex, Gemini CLI, Zed and others. claude.ai and ChatGPT only connect to remote servers.

Who wrote this page?

mcp.tc's robot read Jupyter MCP Server's public metadata (its package and repository pages), and an AI model drafted the text from it. A person reviews anything the checks can't confirm. The text can still be wrong, so if you spot a mistake, use Report this listing on this page.

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