Jupyter MCP Server

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by datalayer

🪐 🔧 Model Context Protocol (MCP) Server for Jupyter.

Install

$pip install jupyterlab jupyter-collaboration jupyter-mcp-tools ipykernel

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Tools (24)

clear_cell_output

Clear the outputs and execution count of a single code cell.

connect_to_jupyter

Connect to a Jupyter server dynamically without restarting the MCP server. Not available when running as Jupyter extension. Useful for switching servers dynamically or avoiding hardcoded configuration.

delete_cell

Delete a cell at a specified index.

edit_cell_source

Apply surgical find-and-replace edits to a cell's source without full rewrite.

execute_cell

Execute a cell with timeout, supports multimodal output including images.

execute_code

Execute code directly in the active backend (kernel by default, or active sandbox if selected), supports magic commands and shell commands. When the selected sandbox supports streaming execution, progress/output events are consumed and returned in order.

insert_cell

Insert a new code or markdown cell at a specified position.

insert_execute_code_cell

Insert a new code cell and execute it in one step.

launch_sandbox

Launch a code sandbox (eval/docker/jupyter/datalayer/kaggle/googlecolab/google-colab/colab/monty/modal) as an alternative execution backend for executecode. Supports variant-specific options including GPU flavor for supported backends. Requires the jupytermcpsandboxes extension.

list_files

List files and directories in the Jupyter server's file system.

list_kernels

List all available and running kernel sessions on the Jupyter server.

list_notebooks

List all notebooks available on the Jupyter server and their status

list_sandboxes

List launched code sandboxes and their state (active flag, variant, status, and selected code sandbox options). Requires the jupytermcpsandboxes extension.

move_cell

Move a cell from one position to another within a notebook.

notebook_get-selected-cell

Get information about the currently selected cell

notebook_run-all-cells

Execute all cells in the current notebook sequentially

overwrite_cell_source

Overwrite the source code of an existing cell.

read_cell

Read the full content (Metadata, Source and Outputs) of a single cell.

read_notebook

Read notebook cells source content with brief or detailed format options.

restart_notebook

Restart the kernel for a specific managed notebook.

terminate_sandbox

Stop and unregister a launched code sandbox. Requires the jupytermcpsandboxes extension.

unuse_notebook

Disconnect from a specific notebook and release its resources.

use_notebook

Connect to a notebook file, create a new one, or switch between notebooks.

use_sandbox

Select or clear the active sandbox used by executecode, enabling dynamic routing between kernel-backed and sandbox-backed execution. Requires the jupytermcpsandboxes extension.