jupyter-interactive-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@jupyter-interactive-mcpList all notebooks in the current workspace."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
jupyter-interactive-mcp
An MCP server that gives any MCP-compatible LLM client (Claude Desktop, Claude Code, etc.) full control over a live JupyterLab instance.
Quick start
# Zero-install run via uvx (recommended)
uvx jupyter-interactive-mcp
# Or install permanently
pip install jupyter-interactive-mcpRelated MCP server: filesystem-mcp
Claude Desktop config
{
"mcpServers": {
"jupyter": {
"command": "uvx",
"args": ["jupyter-interactive-mcp"],
"env": {
"JUPYTER_URL": "http://localhost:8888",
"JUPYTER_TOKEN": "<token>"
}
}
}
}Environment variables
Variable | Default | Description |
|
| Base URL of the Jupyter Server |
| `` | Authentication token (from |
Available tools
list_notebooks— list all.ipynbfilesget_notebook_info— cell count, kernel name/statusread_notebook— all cells with source and outputsread_cell— single cell source and outputsedit_cell— update cell source (clears outputs, saves)add_cell— insert a new cell at an indexdelete_cell— remove a cellrun_cell— execute a cell in the kernel, returns text/imagesrestart_kernel— restart the notebook kernelinterrupt_kernel— interrupt a running kernelget_kernel_status— idle/busy/starting status
Tool Schema Changelog
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