Jupyter Notebook MCP Server

Interact with Jupyter notebooks, allowing for code execution, cell manipulation, and notebook management.

A FastMCP server that provides tools for interacting with Jupyter notebooks. Built using theFastMCP framework.

{ "mcpServers": { "jupyter-notebook": { "command": "uv", "args": [ "run", "--with", "fastmcp>=2.8.1", "python", "<absolute_path_to_jupyter_mcp_server>/main.py" ] } } }

Run the test client to see all functionality in action:

- Cell execution runs Python code directly via subprocess
- Only execute notebooks from trusted sources
- Consider running in a sandboxed environment for production use
- Timeout controls help prevent runaway executions

This MCP server provides the following tools for working with Jupyter notebooks:

Read cells from a Jupyter notebook with optional filtering by cell type.

- notebook_path(str): Path to the .ipynb file
- cell_type(optional str): Filter by cell type ('code', 'markdown', 'raw')

Add a new cell to a Jupyter notebook at a specified position.

- notebook_path(str): Path to the .ipynb file
- cell_content(str): Content of the new cell
- cell_type(str, default="code"): Type of cell ('code', 'markdown', 'raw')
- position(optional int): Position to insert cell (default: append to end)
- metadata(optional dict): Optional cell metadata

Execute a specific cell in a Jupyter notebook.

- notebook_path(str): Path to the .ipynb file
- cell_index(int): Index of the cell to execute (0-based)
- kernel_name(str, default="python3"): Jupyter kernel to use
- timeout(int, default=30): Execution timeout in seconds

Execute all code cells in a Jupyter notebook sequentially.

- notebook_path(str): Path to the .ipynb file
- kernel_name(str, default="python3"): Jupyter kernel to use
- timeout_per_cell(int, default=30): Timeout per cell in seconds
- stop_on_error(bool, default=True): Whether to stop execution if a cell fails

Get basic information about a Jupyter notebook.

- notebook_path(str): Path to the .ipynb file

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