{"categories":[{"label":"Application Frameworks","url":"https://skillfed.io/packages/category/software-development-libraries-application-frameworks/5"}],"enrichment":{"capability":"Exposes JupyterLab commands as MCP (Model Context Protocol) tools, enabling external AI agents and clients to trigger notebook operations, file management, and kernel control through a standardized protocol.","skillfed_tags":["jupyter-extension","mcp-protocol","ai-integration"],"use_cases":["Enable AI agents to open notebooks, execute cells, and manage kernel state in JupyterLab through a standardized MCP interface.","Automate notebook workflows (append cells, run all cells, manage cell selection) triggered by external systems or chatbots.","Provide remote file browser and document management operations (create, delete, rename, open files) to external MCP clients.","Allow external tools to inject code into consoles, restart kernels, and manage terminal sessions without direct UI access.","Integrate JupyterLab command execution into AI agent orchestration platforms that speak the MCP protocol."],"what_it_does":"jupyter-mcp-tools is a JupyterLab server extension that bridges JupyterLab's command system with the Model Context Protocol (MCP), a standardized interface for AI agents and external tools. It dynamically registers all available JupyterLab commands\u2014notebook operations, file management, kernel control, console commands, and UI toggles\u2014as MCP tools that can be invoked remotely via WebSocket.\n\nThe extension operates in two modes: local mode executes commands directly within the JupyterLab frontend, while remote mode transmits commands via WebSocket to the backend, enabling external MCP clients and AI agents to control JupyterLab from outside the environment. It depends on aiohttp for async HTTP/WebSocket handling and jupyter-server for the backend infrastructure, and is designed to work with jupyter-mcp-server for full MCP integration.","worth_installing":"Yes, if you need to expose JupyterLab commands to external MCP clients or AI agents. The package is actively maintained, has no known vulnerabilities, and carries a permissive BSD license. Install friction is low. Primary consideration: verify whether the frontend NPM package must be installed separately and whether jupyter-mcp-server is required for your use case."},"id":"jupyter-mcp-tools","links":{"html":"https://skillfed.io/packages/jupyter-mcp-tools","md":"https://skillfed.io/packages/jupyter-mcp-tools.md","pypi":"https://pypi.org/project/jupyter-mcp-tools/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-10","license_spdx":null,"license_treatment":"permissive","name":"jupyter-mcp-tools","python_support":"supports_current","summary":"Jupyter MCP Tools."},"popularity":{"monthly_downloads":85101,"position":13950,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.1.7"}