Kaggle MCP (Model Context Protocol) Server
Overview
What is Kaggle MCP?
Kaggle MCP (Model Context Protocol) Server is a server application that interacts with the Kaggle API to facilitate searching and downloading datasets, as well as generating Exploratory Data Analysis (EDA) notebooks.
How to use Kaggle MCP?
To use Kaggle MCP, clone the repository, set up your environment, install dependencies, configure your Kaggle API credentials, and run the server. You can then interact with it using an MCP client or compatible tools.
Key features of Kaggle MCP?
- Search for datasets on Kaggle using specific queries.
- Download datasets directly from Kaggle.
- Generate prompts for creating EDA notebooks for datasets.
Use cases of Kaggle MCP?
- Searching for datasets related to specific topics like health or finance.
- Downloading datasets for machine learning projects.
- Generating EDA notebooks to analyze datasets quickly.
FAQ from Kaggle MCP?
- What is the purpose of the Kaggle MCP server?
It provides tools for dataset management and analysis through the Kaggle API.
- Is there a cost to use Kaggle MCP?
No, it is free to use as it interacts with the Kaggle API.
- What programming language is used?
The server is built using Python.
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