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# mcp-server-jupyter An MCP server for managing and interacting with Jupyter notebooks programmatically.  ## 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](https://docs.astral.sh/uv/guides/integration/jupyter/) for more details. ```bash 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: …
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