arrismo/kaggle-mcp
by Various
MCP server for Kaggle
MCP
arrismo/kaggle-mcp
Added 1 June 2026
Overview
A Python-based MCP server that exposes Kaggle API functionality as callable tools for AI agents. It enables language models to retrieve datasets, query competitions, and submit results through the Model Context Protocol. The server acts as a bridge between Kaggle's data science platform and agentic workflows.
Best for
Best for
Developers automating Kaggle data science workflows through AI agents
Use cases
- Fetching Kaggle datasets for automated data analysis
- Submitting competition entries via AI assistants
- Querying competition leaderboards and metadata
How to use
Install
pip install -r requirements.txt Tools exposed
subtitledownload_countlast_updatedusability_rating
Tested with
Claude Desktop
Notes
A Python-based MCP server that exposes Kaggle API functionality as callable tools for AI agents. It enables language models to retrieve datasets, query competitions, and submit results through the Model Context Protocol. The server acts as a bridge between Kaggle’s data science platform and agentic workflows.
35 stars on GitHub. Last updated 2026-05-21. Licensed MIT.
Use cases
- Fetching Kaggle datasets for automated data analysis
- Submitting competition entries via AI assistants
- Querying competition leaderboards and metadata
Pros
- Simple setup for integrating Kaggle with MCP-based tools
- Open source with Python, easy to modify or extend
- Enables automation of common Kaggle tasks via LLMs
Cons
- Small community and limited documentation due to low star count
- Requires Kaggle API credentials and manual configuration
- May not cover all Kaggle features or handle rate limits gracefully
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Simple setup for integrating Kaggle with MCP-based tools
- Open source with Python, easy to modify or extend
- Enables automation of common Kaggle tasks via LLMs
Cons
- Small community and limited documentation due to low star count
- Requires Kaggle API credentials and manual configuration
- May not cover all Kaggle features or handle rate limits gracefully
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