Jupyter Notebook MCP Server
Provides tools for interacting with Jupyter notebooks, allowing users to read, add, and execute notebook cells. It supports full notebook execution and metadata retrieval through the FastMCP framework.
Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.
These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.
read_notebook_cellsRead cells from a Jupyter notebook. Args: notebook_path: Absolute path to the .ipynb file cell_type: Optional filter by cell type ('code', 'markdown', 'raw') Returns: List of cell dictionaries with metadata
add_cell_to_notebookAdd a new cell to a Jupyter notebook. Args: notebook_path: Absolute path to the .ipynb file cell_content: Content of the new cell cell_type: Type of cell ('code', 'markdown', 'raw') position: Position to insert cell (default: append to end) metadata: Optional cell metadata Returns: Status of the ope…
execute_notebook_cellExecute a specific cell in a Jupyter notebook. Args: notebook_path: Absolute path to the .ipynb file cell_index: Index of the cell to execute (0-based) kernel_name: Jupyter kernel to use for execution timeout: Execution timeout in seconds Returns: Execution result with outputs
execute_entire_notebookExecute all code cells in a Jupyter notebook sequentially. Args: notebook_path: Absolute path to the .ipynb file kernel_name: Jupyter kernel to use for execution timeout_per_cell: Timeout per cell in seconds stop_on_error: Whether to stop execution if a cell fails Returns: Execution summary with res…
get_notebook_infoGet basic information about a Jupyter notebook. Args: notebook_path: Absolute path to the .ipynb file Returns: Notebook metadata and statistics
Tool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
5/5 tools missing one or more hints — read_notebook_cells (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); add_cell_to_notebook (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); execute_notebook_cell (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +2 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Destructive tools are labelled
1 tool perform destructive updates without destructiveHint — execute_notebook_cell deletes at line 262 (Path(temp_file_path).unlink(missing_ok=True))
Add destructiveHint:true to any tool whose handler calls .delete(), .upsert(), .update(), unlink, rm, DELETE, DROP, REPLACE INTO, or any operation that overwrites existing data.
License file
No license file
Add a LICENSE file (MIT, Apache-2.0, etc.).
Tests exist
No test files found
Add tests that exercise each declared tool.
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