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Manage Kaggle competitions, datasets, notebooks, and models with natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "kaggle-mcp-server" yet — see the docs or source repo.
Find current beginner-friendly data science competitions, list their registration deadlines, and download the data files for one of them.
A list of relevant competitions with deadlines, plus the download action result or instructions for the selected competition data.
Check whether my Kaggle dataset has the latest version; if not, upload a new version from local files and add release notes.
The current dataset version status, and if needed, a completed new version upload with release notes.
List my recently created Kaggle notebooks and models, sort them by last updated time, and summarize which projects are most active.
A time-sorted list of notebooks and models, with a brief summary of the most active projects.
Access Kaggle competitions, datasets, notebooks, and models through one MCP tool.
Manage Kubernetes clusters, resources, backups, and diagnostics using natural language.
Connect and manage Jupyter notebooks for interactive coding, analysis, and visualization.
Manage Kubernetes resources with natural language for deployment and troubleshooting.
Centralize knowledge, run semantic search, ingest documents, and generate RAG answers.
Connect to Jupyter via MCP to run code and explore data interactively.