Enables interaction with the Kaggle API for dataset discovery, download, and EDA notebook generation.
Sponsored
Kaggle MCP Server provides an interface to the Kaggle API through the Model Context Protocol (MCP). It allows AI agents and compatible tools to search and download datasets from Kaggle, as well as generate prompts for creating Exploratory Data Analysis (EDA) notebooks. The server is built using the `fastmcp` library and requires a Kaggle API key for authentication. It's designed to streamline the process of accessing and exploring Kaggle datasets within an AI-driven workflow.
Key Features
012 GitHub stars
02Supports environment variable and kaggle.json based authentication.
03Searches Kaggle datasets based on a query.
04Downloads Kaggle datasets to a specified directory.
05Generates prompts for creating EDA notebooks for Kaggle datasets.
06Uses FastMCP library for MCP server functionality.
Use Cases
01Integrating Kaggle datasets into AI workflows.
02Automating dataset discovery and download for machine learning projects.
03Generating EDA prompts for code-generating AI models.
