Recursively list files and directories to explore the Jupyter server's file system structure or locate specific files.
BSD 3-Clause
457,367 tools. Updated 2026-08-14 13:39
"Jupyter" matching MCP tools:
- Read a Jupyter Notebook file to return its structure summary, including cell count, cell types, kernel info, and format version.MIT
- Retrieve metadata from Jupyter Notebook files or specific cells by providing the file path and optional cell index.MIT
- Delete multiple cells from a Jupyter Notebook by specifying their indices. Use to batch-remove unnecessary cells without a Jupyter server.MIT
- List all active Jupyter kernels with status information to track and manage running code sessions.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
Matching MCP Servers
- Alicense-qualityBmaintenanceA self-hosted MCP server providing Claude with an interactive Jupyter environment, including real kernels, persistent notebooks, and optional GPU offload to Google Colab.MIT
- AlicenseAqualityDmaintenanceEnables AI agents to execute Python, TypeScript, and JavaScript code in persistent Jupyter kernels with stateful variables and imports across interactions.73MIT
Matching MCP Connectors
Jupiter - 4 tools for swap quotes, liquidity pools, and trading data
Create and manage invoices and customers on Jupiter Invoice (MCP, API-key auth).
- Split a Jupyter notebook into multiple files based on markdown headers or cell count to organize code.MIT
- Stop a Jupyter kernel and permanently remove it along with all its state.MIT
- Run Python code in a persistent Jupyter kernel, preserving variables and imports across executions.MIT
- List all cells in a Jupyter Notebook file, showing indices, types, and content previews for easy inspection.MIT
- Dynamically connect to any Jupyter server by providing its URL and token, enabling easy switching between instances.BSD 3-Clause
- Replace the content of a specific cell in a Jupyter Notebook by supplying the notebook file path, cell index, and new content. Directly modify any cell programmatically without starting a Jupyter server.MIT
- Retrieve comprehensive status details for a specified Jupyter kernel, including execution state and resource usage.MIT
- Validate the structure of Jupyter Notebook files. Returns a validity flag and error list for malformed notebooks.MIT
- List common Jupyter notebook kernel configurations to identify available kernels for your environment.MIT
- Set the kernel specification for a Jupyter Notebook, including kernel name, display name, and language.MIT
- Read Jupyter notebooks with cell outputs to review code execution results and analysis data from .ipynb files.MIT
- Connects to a Jupyter kernel, starting a new one if not already running.MIT
- Execute code on a Jupyter kernel through websocket channels. Provide kernel ID and code; timeout is optional.MIT
- Retrieve a rental's status and Jupyter connection URL with token. Waits until the rental is ready (up to 24 seconds) then returns the URL, avoiding repeated polling.MIT