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.
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 local MCP server that exposes the SAIR Competition Public API as tools for MCP clients, enabling account introspection, competition browsing, submissions, playground operations, cheatsheet management, and Contributor Network interactions.
MCP server for Codabench REST API that enables AI agents to drive a full participant ML-benchmark workflow: discover competitions, download data, submit, poll, and read leaderboards.
Zero-config MCP server that enables AI assistants to search and preview Kaggle datasets directly, with smart token trimming for efficient context usage.