Skip to main content

MCP server for Jupyter notebooks

Project description

mcp-server-jupyter

An MCP server for managing and interacting with Jupyter notebooks programmatically.

Demo

Components

Tools

The server provides six tools for notebook manipulation:

  1. read_notebook_with_outputs: Read a notebook's content including cell outputs

    • Required: notebook_path (string)
  2. read_notebook_source_only: Read notebook content without outputs

    • Required: notebook_path (string)
    • Use when size limitations prevent reading full notebook with outputs
  3. read_output_of_cell: Read output of a specific cell

    • Required:
      • notebook_path (string)
      • cell_id (string)
  4. add_cell: Add new cell to notebook

    • Required:
      • notebook_path (string)
      • source (string)
    • Optional:
      • cell_type (string): "code" or "markdown"
      • position (integer): insertion index (-1 to append)
  5. edit_cell: Modify existing cell content

    • Required:
      • notebook_path (string)
      • cell_id (string): Unique ID of the cell to edit
      • source (string)
  6. execute_cell: Execute a specific cell and return its output

    • Required:
      • notebook_path (string)
      • cell_id (string)
    • Useful for verifying cell execution and output

Usage with Claude Desktop

Step1: Start JupyterLab or Jupyter Notebook

By using uv to run Jupyter notebooks it's much easier to manage venv and package installations.

Follow uv jupyter docummentation for more details.

uv venv --seed
source .venv/bin/activate
uv pip install jupyterlab
.venv/bin/jupyter lab

NOTE: this environment should be used as UV_PROJECT_ENVIRONMENT env variable in MCP server (next step). Run in the same folder where Jupyter started.

echo $(pwd)/.venv

Step2: Configure Claude Desctop Add this configuration to your Claude Desktop config file:

PyPi package:

// ~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "Jupyter-notebook-manager": {
      "command": "uv",
      "args": ["run", "--with", "mcp-server-jupyter", "mcp-server-jupyter"],
      "env": {
        "UV_PROJECT_ENVIRONMENT": "/path/to/venv_for_jupyter/.venv"
      }
    }
  }
}

Git repo fork

// ~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "Jupyter-notebook-manager": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/Users/inna/mcp-server-jupyter/src/mcp_server_jupyter",
        "mcp-server-jupyter"
      ],
      "env": {
        "UV_PROJECT_ENVIRONMENT": "/path/to/venv_for_jupyter/.venv"
      }
    }
  }
}

Step 3: Open Notebook & Claude Chat

Open or create a notebook in JupyterLab/Jupyter Notebook

Get the full path to your notebook:

  • In JupyterLab: Right-click on the notebook in the file browser → "Copy Path"
  • In Jupyter Notebook: Copy the path from the URL (modify to full system path)

In Claude Desktop chat:

  • Always use the full path to the notebook when calling tools
  • Example: /Users/username/projects/my_notebook.ipynb

Important Notes:

  • After any modifications through Claude (add_cell, edit_cell):
    • Reload the notebook page in JupyterLab/Jupyter Notebook
    • Current version does not support automatic reload
  • Keep JupyterLab/Jupyter Notebook instance running while working with Claude

License

This project is licensed under the MIT License. See the LICENSE file for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mcp_server_jupyter-0.1.9.tar.gz (25.8 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mcp_server_jupyter-0.1.9-py3-none-any.whl (9.9 kB view details)

Uploaded Python 3

File details

Details for the file mcp_server_jupyter-0.1.9.tar.gz.

File metadata

  • Download URL: mcp_server_jupyter-0.1.9.tar.gz
  • Upload date:
  • Size: 25.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for mcp_server_jupyter-0.1.9.tar.gz
Algorithm Hash digest
SHA256 f1ec65a6eb45d96429bd040414811a78bcf9668d0b85677124ee709e430ea7e1
MD5 2c8c74deda3d6cd5b0361d347c3b88e0
BLAKE2b-256 e76b11ca393a26e8451b7e7a2942d6e56053dcd818234489edb6284ec89d0382

See more details on using hashes here.

Provenance

The following attestation bundles were made for mcp_server_jupyter-0.1.9.tar.gz:

Publisher: main.yml on ihrpr/mcp-server-jupyter

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file mcp_server_jupyter-0.1.9-py3-none-any.whl.

File metadata

File hashes

Hashes for mcp_server_jupyter-0.1.9-py3-none-any.whl
Algorithm Hash digest
SHA256 5eced5309ec68a9b01b75f25ca5789cf88ee03d8042544759b1db5d86ebb5a36
MD5 0dec38fa28c677b7a9a0e03914d0d86f
BLAKE2b-256 48a3ab700fdfebac434825a243fc54867b7f74a57a2c221a801854a626968f4a

See more details on using hashes here.

Provenance

The following attestation bundles were made for mcp_server_jupyter-0.1.9-py3-none-any.whl:

Publisher: main.yml on ihrpr/mcp-server-jupyter

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page