"Kaggle" matching MCP servers:

A safety-first MCP server that connects Claude to Kaggle, enabling competition management, dataset analysis, submission tracking, and kernel execution with built-in safeguards against destructive actions and prompt injection.

A full-featured MCP server for the Kaggle API — competitions, datasets, kernels, models, benchmarks, and discussions.

A local stdio MCP server that gives Claude on-demand access to any Kaggle competition's brief, rules, evaluation, data description, leaderboard, top discussions and public notebooks, using the user's own Kaggle credentials and a disk cache with no hosted infrastructure. It also exposes a live tool for spotting forum topics and comments posted since the last fetch.

It interacts with the Kaggle API to provide tools for searching and downloading datasets, and a prompt for generating EDA notebooks.

A Model Context Protocol server that provides tools to interact with Kaggle APIs, enabling dataset search, competition submissions, and account management.

Connects Claude AI to the Kaggle API through the Model Context Protocol, enabling competition, dataset, and kernel operations through the AI interface.

Connects Claude AI to the Kaggle API through the Model Context Protocol, enabling users to browse competitions, search and download datasets, analyze kernels, and access pre-trained models through natural language interactions.

Enables AI agents and CLI users to drive Kaggle notebooks end-to-end—pull, edit, save new versions, run, monitor, and fetch logs—using a local stdio MCP server with a Kaggle API token.

Enables AI agents to interact with Kaggle through MCP, including remote GPU/TPU kernel execution, competition and dataset downloads, and kernel management via SSE.

Enables AI assistants to work with the Kaggle API locally over stdio, covering competitions, datasets, kernels, models, benchmarks, and discussions — including discussion search, solution write-ups, and trending topics missing from the official remote server.

Enables AI agents to interact with Kaggle's platform for managing datasets, competitions, kernels, models, forums, and benchmarks via 68 MCP tools.

A full-featured MCP server with 96 tools for the Kaggle API, enabling users to manage competitions, datasets, notebooks, models, discussions, and workflows via natural language.

A Model Context Protocol (MCP) server that provides seamless integration with the Kaggle API, enabling interaction with competitions, datasets, kernels, and models through MCP-compatible clients.

Searches and retrieves information from Meta Kaggle dataset, including competitions, discussions, users, and forums, enabling data exploration and analysis through natural language queries.

MCP server for querying the Kaggle 'All Natural Disasters 1900-2021 / EOSDIS' CSV dataset via pandas, exposing search and statistics tools.

Most LLMs forget everything when the conversation ends. waggle-mcp fixes that by giving your AI a persistent knowledge graph it can read and write through any MCP-compatible client.

Enables running ML experiments from a local laptop by coordinating GitHub for code, Kaggle for data and GPU training, Weights & Biases for tracking runs, and Google Drive for small artifacts.

Unified MCP server for discovering open datasets across Hugging Face, Zenodo, and Kaggle, with ranked search results and one-click Colab starter code generation.

A Model Context Protocol (MCP) server for interacting with the Sage Grande Testbed, enabling users to query sensor data, submit jobs, and manage Sage nodes through natural language.

Enables AI agents and their users to submit, route, and monitor training jobs across free-tier GPU clouds (Kaggle, Colab, Lightning, local MPS) through a local daemon that tracks quota, explains routing decisions, and gates long or secret-reading agent jobs behind human approval.