"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.

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 exploratory data analysis and machine learning on CSV datasets with tools for profiling, missing values, correlation, plotting, model training, and prediction.

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.