{"categories":[{"label":"Application Frameworks","url":"https://skillfed.io/packages/category/software-development-libraries-application-frameworks/6"}],"enrichment":{"capability":"Exposes JupyterLab commands to Python code and AI assistants via a server extension, enabling programmatic command discovery and execution within Jupyter environments.","skillfed_tags":["jupyter-extension","ai-integration","mcp-protocol"],"use_cases":["Enable AI assistants to discover and execute JupyterLab commands programmatically via the Model Context Protocol.","Automate repetitive JupyterLab tasks (e.g., running cells, toggling panels) from server-side Python code.","Expose JupyterLab command capabilities to external tools or workflows that integrate with jupyter-server-mcp.","Build custom server extensions that need to interact with JupyterLab's command registry without direct UI access.","Integrate JupyterLab automation into AI-driven notebook workflows or assistants."],"what_it_does":"jupyterlab_commands_toolkit is a JupyterLab server extension that bridges Python code and AI assistants to JupyterLab's command system. It provides two main functions: discovering all available commands with their metadata, and executing any command programmatically. The extension is designed to integrate with jupyter-server-mcp, automatically exposing its tools to AI clients like Claude Desktop via the Model Context Protocol, making JupyterLab automation accessible to language models and other MCP-compatible tools.\n\nThe package consists of a Python server component (installed via pip) and a frontend NPM component (installed automatically with the extension). It requires only jupyter-server and jupyterlab-eventlistener as runtime dependencies, keeping installation lightweight. The extension is intended for use within a running Jupyter Server process, where it can intercept and execute commands like toggling the file browser or running notebook cells\u2014typical operations that would otherwise require manual UI interaction.","worth_installing":"Yes, if you need programmatic access to JupyterLab commands or are building AI-assisted workflows. The extension is actively maintained, has low install friction, carries a permissive BSD license, and integrates cleanly with jupyter-server-mcp. Install with caution only if your JupyterLab version is older than 4.5.0a3 or if you need to verify compatibility with your specific extensions."},"id":"jupyterlab-commands-toolkit","links":{"html":"https://skillfed.io/packages/jupyterlab-commands-toolkit","md":"https://skillfed.io/packages/jupyterlab-commands-toolkit.md","pypi":"https://pypi.org/project/jupyterlab-commands-toolkit/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-04-29","license_spdx":null,"license_treatment":"permissive","name":"jupyterlab-commands-toolkit","python_support":"supports_current","summary":"A Jupyter extension that provides an AI toolkit for JupyterLab commands."},"popularity":{"monthly_downloads":81077,"position":14252,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.1.6"}