iflow-mcp_kaggle-mcp 0.1.1

Kaggle API integration through the Model Context Protocol

Kaggle-MCP: Kaggle API Integration for Claude AI

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Kaggle-MCP connects Claude AI to the Kaggle API through the Model Context Protocol (MCP), enabling competition, dataset, and kernel operations through the AI interface.

Features

• 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

Quick Installation

The following commands install the base version of Kaggle-MCP.

macOS / Linux

# Install with a single command
curl -LsSf https://raw.githubusercontent.com/54yyyu/kaggle-mcp/main/install.sh | sh

Windows

# Download and run the installer
powershell -c "Invoke-WebRequest -Uri https://raw.githubusercontent.com/54yyyu/kaggle-mcp/main/install.ps1 -OutFile install.ps1; .\install.ps1"

Manual Installation

# Install with pip
pip install git+https://github.com/54yyyu/kaggle-mcp.git

# Or better, install with uv
uv pip install git+https://github.com/54yyyu/kaggle-mcp.git

Configuration

After installation, run the setup utility to configure Claude Desktop:

kaggle-mcp-setup

This will locate and update your Claude Desktop configuration file, which is typically found at:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

Manual Configuration

Alternatively, you can manually add the following to your Claude Desktop configuration:

{
  "mcpServers": {
    "kaggle": {
      "command": "kaggle-mcp"
    }
  }
}

Kaggle API Credentials

To use Kaggle-MCP, you need to set up your Kaggle API credentials:

1. Go to your Kaggle account settings
2. In the API section, click "Create New API Token"
3. This will download a kaggle.json file with your credentials
4. Move this file to ~/.kaggle/kaggle.json (create the directory if needed)
5. Set the correct permissions: chmod 600 ~/.kaggle/kaggle.json

Alternatively, you can authenticate directly through Claude using the authenticate() tool with your username and API key.

Available Tools

For a comprehensive list of available tools and their detailed usage, please refer to the documentation at stevenyuyy.us/kaggle-mcp.

Examples

Ask Claude:

• "Authenticate with Kaggle using my username 'username' and key 'apikey'"
• "List active Kaggle competitions"
• "Show me the top 10 competitors on the Titanic leaderboard"
• "Find datasets about climate change"
• "Download the Boston housing dataset"
• "Search for kernels about sentiment analysis"

Use Cases

• Competition Research: Quickly access competition details, data, and leaderboards
• Dataset Discovery: Find and download datasets for analysis projects
• Learning Resources: Locate relevant kernels and notebooks for specific topics
• Model Discovery: Find pre-trained models for various machine learning tasks

Requirements

• Python 3.8 or newer
• Claude Desktop or API access
• Kaggle account with API credentials
• MCP Python SDK 1.6.0+

License

This project is licensed under the MIT License - see the LICENSE file for details.