This MCP server interacts with Kaggle through APIs to search datasets, download datasets, and generate prompts for EDA notebooks, facilitating data analysis workflows.
Added on:
Created by:
Apr 23 2025
This MCP server interacts with Kaggle through APIs to search datasets, download datasets, and generate prompts for EDA notebooks, facilitating data analysis workflows.
Added on:
Created by:
Apr 23 2025
Mikael
Featured
What is Kaggle MCP (Model Context Protocol) Server?
The Kaggle MCP server is a specialized platform built to streamline interaction with Kaggle datasets. It allows users to search for datasets based on keywords, download selected datasets, and generate prompts for creating Exploratory Data Analysis (EDA) notebooks automatically. Using fastmcp library, it provides these functionalities through a RESTful API, enabling integration with AI agents for automated data analysis and research. This setup simplifies data sourcing, management, and initial analysis, making it ideal for data scientists, researchers, and AI developers working on data-driven projects.
Who will use Kaggle MCP (Model Context Protocol) Server?
- Data Scientists
- Research Analysts
- AI Developers
- Kaggle Participants
How to use the Kaggle MCP (Model Context Protocol) Server?
- Step1: Clone the GitHub repository and set up the environment
- Step2: Configure your Kaggle API credentials in the .env file or kaggle.json
- Step3: Install dependencies via pip or uv package manager
- Step4: Run the server using 'uv run kaggle-mcp' command
- Step5: Interact with the MCP server through an MCP client or compatible AI tools, using provided functions to search datasets, download them, and generate EDA prompts
Kaggle MCP (Model Context Protocol) Server's Core Features & Benefits
The Core Features
- search_kaggle_datasets(query: str)
- download_kaggle_dataset(dataset_ref: str, download_path: str | None = None)
- generate_eda_notebook(dataset_ref: str)
The Benefits
- Facilitates seamless dataset discovery
- Enables automated dataset download and management
- Supports automatic generation of EDA analysis prompts
- Integrates easily with AI-driven workflows
- Enhances productivity for data analysis
Kaggle MCP (Model Context Protocol) Server's Main Use Cases & Applications
- Automated data collection for research projects
- Rapid prototyping of data analysis pipelines
- Integration with AI agents for end-to-end data exploration
- Educational tools for teaching data analysis
- Kaggle competition data sourcing and preprocessing
FAQs of Kaggle MCP (Model Context Protocol) Server
Developer
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