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.
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.
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.
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.
Enables AI assistants to interact with Kaggle competitions, including listing competitions, downloading files, submitting predictions, and viewing submission history.
A remote MCP server on Cloudflare Workers that proxies tool calls to the Kaggle API, enabling running Python/R code on Kaggle's free GPU/TPU infrastructure from any MCP client.
Zero-config MCP server that enables AI assistants to search and preview Kaggle datasets directly, with smart token trimming for efficient context usage.
Enables exploratory data analysis and machine learning on CSV datasets with tools for profiling, missing values, correlation, plotting, model training, and prediction.
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.
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.
Unified MCP server for discovering open datasets across Hugging Face, Zenodo, and Kaggle, with ranked search results and one-click Colab starter code generation.