Kaggle-MCP: Kaggle API Integration for Claude AI
Overview
What is Kaggle-MCP?
Kaggle-MCP is a tool that connects Claude AI to the Kaggle API through the Model Context Protocol (MCP), allowing users to perform operations related to competitions, datasets, and kernels directly through the AI interface.
How to use Kaggle-MCP?
To use Kaggle-MCP, install it using the provided installation commands for your operating system, configure your Kaggle API credentials, and then interact with Claude AI to perform various tasks related to Kaggle.
Key features of Kaggle-MCP?
- Authentication: Securely authenticate with your Kaggle credentials.
- Competitions: Browse, search, and download data from Kaggle competitions.
- Datasets: Find, explore, and download datasets from Kaggle.
- Kernels: Search for and analyze Kaggle notebooks/kernels.
- Models: Access pre-trained models available on Kaggle.
Use cases of Kaggle-MCP?
- Quickly access competition details, data, and leaderboards.
- Find and download datasets for analysis projects.
- Locate relevant kernels and notebooks for specific topics.
- Discover pre-trained models for various machine learning tasks.
FAQ from Kaggle-MCP?
- How do I authenticate with Kaggle?
You can authenticate by creating a new API token in your Kaggle account settings and placing the downloaded
kaggle.jsonfile in the appropriate directory.
- What are the system requirements?
You need Python 3.8 or newer and a Kaggle account with API credentials to use Kaggle-MCP.
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