List all running Jupyter kernels to inspect their id, name, state, and connections.
MIT
650,501 tools. Updated 2026-10-13 21:47
"Jupyter" matching MCP tools:
- Recursively list files and directories to explore the Jupyter server's file system structure or locate specific files.BSD 3-Clause
- 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
Matching MCP Servers
- 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
- AlicenseNot gradedqualityCmaintenanceEnables Codex to connect to a locally running JupyterLab instance and use its notebook tools through MCP, allowing tasks such as reading and executing notebooks.MIT
Matching MCP Connectors
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- 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
- 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.MITDestructive
- 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
- Retrieve all cells from a Jupyter notebook with their indices and types to inspect notebook structure and content organization.MIT
- Find cells matching a regex pattern in a Jupyter Notebook file. Supports case-sensitive search and returns matched cell content.MIT
- Initialize a persistent Jupyter kernel for executing code in Python, TypeScript, or JavaScript, using a specified runtime executable path.MIT
- Dynamically connect to any Jupyter server by providing its URL and token, enabling easy switching between instances.BSD 3-ClauseDestructive
- 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
- Replace a substring within a chosen cell of a Jupyter notebook (.ipynb) by providing file path, cell index, and old/new strings. Works directly on notebook files without requiring a Jupyter server.MIT
- Reorder cells in a Jupyter Notebook (.ipynb) by providing a new index mapping that specifies the desired order.MIT
- Clear all variables and state from a Jupyter kernel while keeping the same ID for continued use.MITDestructive
- Retrieve comprehensive status details for a specified Jupyter kernel, including execution state and resource usage.MIT