Enables MCP server capabilities for Kaggle, supporting dataset download and analysis through the Model Context Protocol.
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Category: Data Access Integration MCP Servers
Tags: mcp, data-access, datasets, kaggle, analysis
Source: GitHub - arrismo/kaggle-mcp
kaggle-mcp is an open-source MCP (Model Context Protocol) server that integrates with Kaggle, allowing programmatic search, download, and analysis of Kaggle datasets. It is built using the fastmcp library and is intended for use with MCP-compatible clients, agents, or AI models.
Kaggle Dataset Search:
search_kaggle_datasets(query: str) to search Kaggle for datasets matching a query string.Dataset Download:
download_kaggle_dataset(dataset_ref: str, download_path: str | None = None) enables downloading and unzipping of specific Kaggle datasets.datasets/ directory if not provided.EDA Notebook Prompt Generation:
generate_eda_notebook(dataset_ref: str) produces a prompt for an AI model to generate an Exploratory Data Analysis (EDA) notebook for a given dataset.Integration:
Environment variable and credential setup:
.env file or kaggle.json API credentials.Docker Support:
This is a free and open-source project (MIT License). No pricing plans are required.