<img src="https://www.kaggle.com/static/images/site-logo.svg" alt="Kaggle Logo" width="80" height="24"> Kaggle MCP Server

A Model Context Protocol (MCP) server for interacting with Kaggle competitions through Claude or other compatible AI assistants.

📖 Learn More

Want to understand the full potential of this server? Check out the detailed article:

AI-Powered Data Science Revolution: How Kaggle MCP Server Transforms AI Capabilities

Prerequisites

• Node.js 16 or higher
• TypeScript
• Kaggle CLI installed (pip install kaggle)
• Kaggle API credentials configured

Authentication Setup

There are two ways to authenticate with the Kaggle API:

Option 1: Using a kaggle.json file (Standard approach)

1. Install the Kaggle CLI:

pip install kaggle

2. Go to https://www.kaggle.com/account and click "Create New API Token"
3. This will download a kaggle.json file with your credentials
4. Create a .kaggle directory in your home folder (if it doesn't exist)

# On Linux/Mac
mkdir -p ~/.kaggle

# On Windows (PowerShell)
New-Item -ItemType Directory -Force -Path "$HOME\.kaggle"

5. Move the downloaded kaggle.json file to the .kaggle directory:

# On Linux/Mac
mv ~/Downloads/kaggle.json ~/.kaggle/
chmod 600 ~/.kaggle/kaggle.json  # Set permissions

# On Windows (PowerShell)
Move-Item -Path "$HOME\Downloads\kaggle.json" -Destination "$HOME\.kaggle\kaggle.json"

Option 2: Using Claude for Desktop Configuration (Simpler)

You can directly add your Kaggle credentials to your claude_desktop_config.json file:

{
  "mcpServers": {
    "kaggle": {
      "command": "node",
      "args": ["/path/to/build/index.js"],
      "env": {
        "KAGGLE_USERNAME": "your-kaggle-username",
        "KAGGLE_KEY": "your-kaggle-api-key"
      }
    }
  }
}

Replace your-kaggle-username and your-kaggle-api-key with your actual Kaggle credentials.

Installation

1. Clone this repository
2. Install dependencies:

npm install

3. Build the project:

npm run build

Usage

Running the server

npm start

Or directly:

node build/index.js

Connecting with Claude for Desktop

Add the following configuration to your claude_desktop_config.json file.

Example Queries

Once connected to Claude, you can ask questions like:

• "Show me the active Kaggle competitions"
• "Search for image classification competitions"
• "Download the files for the Titanic competition"
• "Submit my predictions.csv file to the housing-prices competition with the message 'Random forest model'"
• "Show me my submissions for the digit-recognizer competition"

Troubleshooting

Authentication Issues

If you encounter authentication errors:

1. Verify your credentials are correctly set:

   • If using kaggle.json, check it's in the correct location:
     • Linux/Mac: ~/.kaggle/kaggle.json
     • Windows: C:\Users\<USERNAME>\.kaggle\kaggle.json
   • If using environment variables, check the env section in your claude_desktop_config.json

2. For kaggle.json, check if the file has the correct permissions:

   • On Linux/Mac, run: chmod 600 ~/.kaggle/kaggle.json

3. Make sure your API token is still valid. If needed, generate a new one from your Kaggle account page.

Installation Issues

If the Kaggle CLI is not found:

1. Make sure you have installed it with: pip install kaggle
2. Verify that the Kaggle command is in your PATH by running: kaggle --version

Current Capabilities

The server currently provides the following operations for Kaggle competitions:

🔍 List Competitions

• List all active Kaggle competitions
• Search competitions by keyword
• Support for pagination to browse through results
• Display competition details including name, category, deadline, and prize

📥 Download Competition Files

• Download files for any competition
• Specify custom download path
• Force re-download of existing files
• Works with all public competition datasets

📤 Submit to Competitions

• Submit prediction files to competitions
• Add custom submission messages
• Get immediate feedback on submission status
• Requires prior acceptance of competition rules on Kaggle website

📋 List Submissions

• View submission history for a specific competition
• See submission status and scores
• Track multiple submissions over time

All Features Now Available

All the features previously listed as "Coming Soon" are now available in the feature-complete branch of this repository. This includes:

• Dataset Operations: Browse, search, download, and analyze datasets from Kaggle
• Notebook Integration: Work with Kaggle notebooks directly from your AI assistant
• User Management: Check profile information and competition standings
• Competition Analysis: Get detailed competition metrics and leaderboard insights

Check out the feature-complete branch for the most up-to-date and comprehensive implementation of the Kaggle MCP server.

License

MIT