Retrieve a full list of notebooks stored in your Inkdrop database. Use this tool to organize and access your notes.
Apache 2.0
674,952 tools. Updated 2026-10-19 01:05
"A tool for executing code in Jupyter Notebooks" matching MCP tools:
- 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
- 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
Matching MCP Servers
- AlicenseAqualityCmaintenanceEnables 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.446Apache 2.0
- AlicenseNot gradedqualityCmaintenanceA 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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- Access file contents from any local path, including legacy encodings, images, PDFs, and Jupyter notebooks. Supports offset and limit to load specific sections of large files.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
- Find and replace regex patterns across all cells in a Jupyter Notebook, with optional filtering by cell type.MIT
- Scrape the NotebookLM homepage to retrieve a real list of all notebooks with their IDs, names, and URLs. Use it to discover untracked notebooks, confirm existing ones, get accurate IDs for automation, or find notebooks to clean up.MIT