Jupyter Mcp Server

Name: Jupyter Mcp Server
Author: datalayer

general MCP Server

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

bydatalayer

FreshInstall Ready

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FreshInstall Ready

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Stars: 1,278
Last synced: 1d ago
Install: Instructions detected

Install

1. Install the package

uvx jupyter-mcp-server@latest

2. Add to claude_desktop_config.json

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

Config file location: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) / %APPDATA%\Claude\claude_desktop_config.json (Windows)

Tools

Resources

Prompts

Standard I/O

Transport

Available Tools (49)

execute_temporary_code

执行临时代码块(不存储到Notebook中)

connect_notebook

连接/创建指定路径的Notebook

list_notebook

列出所有目前连接的Notebook

overwrite_cell

覆盖指定名称的Notebook指定索引的Cell内容

append_execute_code_cell

在Notebook末尾添加并执行Code Cell

list_cell

列出指定名称的Notebook的所有Cell的基本信息

list_notebooks

List all notebooks available on the Jupyter server and their status

overwrite_cell_source

Overwrite the source code of an existing cell.

delete_cell

Delete a cell at a specified index.

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.

use_notebook

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

move_cell

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

execute_cell

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

read_notebook

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

restart_notebook

Restart the kernel for a specific managed notebook.

insert_cell

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

notebook_run-all-cells

Execute all cells in the current notebook sequentially

jupyter-cite

Cite specific cells from specified notebook (like `@` in Coding IDE or CLI)

launch_sandbox

Launch a code sandbox (eval/docker/jupyter-server/datalayer/daytona/e2b/coreweave/cloudflare/kaggle/google-colab/monty/modal) as an alternative execution backend for `execute_code`. Supports variant-specific options including GPU flavor for supported backends. Requires the `jupyter_mcp_sandboxes` extension.

list_sandboxes

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

use_sandbox

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

terminate_sandbox

Stop and unregister a launched code sandbox. Requires the `jupyter_mcp_sandboxes` extension.

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.*

unuse_notebook

Disconnect from a specific notebook and release its resources.

clear_cell_output

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

jupyter

—

colab

`jupyter-mcp-server[colab]`

read_cell

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

jupyter-mcp-server

`CODE_SANDBOX_URL`, `CODE_SANDBOX_ID`, `CODE_SANDBOX_PROXY_TOKEN`

jupyter-server

—

Modal

`modal`

E2B

`e2b`

Name

Description

edit_cell_source

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

insert_execute_code_cell

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

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.

notebook_get-selected-cell

Get information about the currently selected cell

Engine

`SANDBOX_VARIANT`

Daytona

`daytona`

JupyterHub

`jupyter-server`

Datalayer

`datalayer`

Kaggle

`kaggle`

CoreWeave

`coreweave`

Monty

`monty`

Cloudflare

`cloudflare`

google-colab

`jupyter-mcp-server`

E2B_API_KEY

[Setup](https://jupyter-mcp-server.datalayer.tech/code-sandboxes/e2b)

CWSANDBOX_API_KEY

[Setup](https://jupyter-mcp-server.datalayer.tech/code-sandboxes/coreweave)

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