This MCP server facilitates seamless interaction with Kaggle competitions, allowing users to list active contests, download datasets, and submit predictions efficiently through AI assistants like Claude.
Added on:
Created by:
Apr 06 2025
This MCP server facilitates seamless interaction with Kaggle competitions, allowing users to list active contests, download datasets, and submit predictions efficiently through AI assistants like Claude.
Added on:
Created by:
Apr 06 2025
Dishant Kumar
Featured
What is Kaggle MCP Server?
The Kaggle MCP Server provides a comprehensive interface for data scientists and AI developers to manage Kaggle competitions. It supports listing all active competitions, searching by keywords, downloading datasets, and submitting predictions directly from an integrated environment. By automating these processes, it enhances productivity and simplifies participation in Kaggle challenges using AI tools. The server ensures compatibility with Kaggle's API, enabling smooth access to datasets, competitions, and submissions while maintaining security and user authentication standards.
Who will use Kaggle MCP Server?
- Data Scientists
- AI Developers
- Kaggle Participants
- Data Analysts
How to use the Kaggle MCP Server?
- Step1: Install Node.js and TypeScript
- Step2: Clone the repository from GitHub
- Step3: Install dependencies using npm
- Step4: Configure Kaggle API credentials
- Step5: Run the server using npm start
- Step6: Interact through AI assistants to list, download, and submit
Kaggle MCP Server's Core Features & Benefits
The Core Features
- List active Kaggle competitions
- Download competition datasets
- Submit predictions to competitions
- View submission history
- Analyze competition metrics
The Benefits
- Automates competition management
- Saves time and effort
- Enables AI-assisted participation
- Streamlines dataset handling
Kaggle MCP Server's Main Use Cases & Applications
- Participating in Kaggle competitions via AI assistants
- Automated dataset retrieval for analysis
- Submitting models and predictions programmatically
- Monitoring competition progress and leaderboard
FAQs of Kaggle MCP Server
Developer
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