Query multiple notebooks simultaneously and receive a single aggregated answer with citations for each notebook. Select notebooks by name, tags, or all notebooks to streamline cross-notebook research.
MIT
524,517 tools. Updated 2026-09-06 16:29
"A tool for executing code in Jupyter Notebooks" matching MCP tools:
- Retrieve a full list of notebooks stored in your Inkdrop database. Use this tool to organize and access your notes.Apache 2.0
- List all notebooks in your NotebookLM account. Specify a maximum result count to limit the response when you have many notebooks.MIT
- Query Jupyter notebook information and metadata, including source code, server status, sessions, and cell positions.Apache 2.0
- Add, edit, or delete code and markdown cells in Jupyter notebooks, with optional immediate execution.Apache 2.0
- Generate and customize Jupyter notebooks for Python and Markdown tasks, ensuring unique names and valid JSON content for streamlined data analysis and integration with SingleStore databases.MIT
Matching MCP Servers
- AlicenseAqualityDmaintenanceEnables AI agents to interact with Jupyter notebooks via MCP tools for querying, modifying, executing, and setting up notebooks, with state preservation and real-time collaboration.444Apache 2.0
- AlicenseNot gradedqualityBmaintenanceA self-hosted MCP server providing Claude with an interactive Jupyter environment, including real kernels, persistent notebooks, and optional GPU offload to Google Colab.MIT
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- Connect to a remote Jupyter server to run code on remote compute, GPUs, or data while keeping notebooks saved locally.MIT
- Access file contents from the local filesystem, supporting images, PDFs, Jupyter notebooks, and partial reads via offset and page ranges.MIT
- Export Databricks workspace objects (notebooks or files) in formats like SOURCE, HTML, JUPYTER, DBC, or RAW. Returns decoded text where possible.MIT
- List installed Jupyter kernel specs to retrieve kernel names for executing notebook cells.MIT
- Run code directly in Jupyter kernels or sandboxes for quick tests, debugging, magic commands, and shell commands without modifying notebooks.BSD 3-ClauseDestructive
- List available JACTUS code examples, including Python scripts and Jupyter notebooks, for contract simulations and analysis.Apache 2.0
- Execute code cells or install packages in a Jupyter notebook. Requires prior notebook setup to specify the server URL.Apache 2.0
- Synchronize your local NotebookLM library by comparing it with actual notebooks, identifying stale entries, and discovering missing notebooks for accurate data management.MIT
- Execute Python code in a secure sandbox using Jupyter syntax, capturing standard output and errors.MIT
- Delete multiple cells from a Jupyter Notebook by specifying their indices. Use to batch-remove unnecessary cells without a Jupyter server.MIT
- Merge multiple Jupyter Notebook files into a single notebook, optionally adding separator cells between them.MIT
- Create multiple NotebookLM notebooks simultaneously to organize research materials efficiently, with options for error handling and progress tracking.MIT
- List all active Jupyter kernels with status information to track and manage running code sessions.MIT
- List all Jupyter notebook files (.ipynb) in the current working directory. Quickly see available notebooks for selection or management.MIT
- Retrieve a specific cell's content from a Jupyter Notebook by index, with negative indexing for reverse access. Get cell data directly for programmatic use without a Jupyter server.MIT