pramod/kaggle

Overview

Provides an MCP server for interacting with Kaggle competitions from Claude Desktop or any MCP-compatible client. Built in Python, it enables AI assistants to fetch competition details and submit entries. Currently has limited adoption with 3 stars on GitHub.

Best for

Best for
Developers integrating Kaggle tasks into AI assistant workflows

Use cases

• List ongoing Kaggle competitions via an AI assistant
• Retrieve competition leaderboard and submission data
• Submit predictions to Kaggle competitions programmatically

How to use

Install

pip install -r requirements.txt

Tested with

Claude Desktop

Example client config

{\n  "mcpServers": {\n    "Kaggle": {\n      "command": "<path-to-your-python-executable>",\n      "args": ["<path-to-your-kaggle-server.py>"]\n    }\n  }\n}

Notes

Provides an MCP server for interacting with Kaggle competitions from Claude Desktop or any MCP-compatible client. Built in Python, it enables AI assistants to fetch competition details and submit entries. Currently has limited adoption with 3 stars on GitHub.

3 stars on GitHub. Last updated 2025-09-05. Licensed MIT.

Use cases

• List ongoing Kaggle competitions via an AI assistant
• Retrieve competition leaderboard and submission data
• Submit predictions to Kaggle competitions programmatically

Pros

• Enables LLMs to directly interact with Kaggle competitions through the Model Context Protocol
• Works with any MCP-compatible client like Claude Desktop
• Lightweight Python implementation with minimal dependencies

Cons

• Limited community adoption (only 3 stars on GitHub)
• Requires Kaggle API credentials for authentication
• Dependent on Kaggle API stability and rate limits

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.