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 - [kdqed/zaturn](https://github.com/kdqed/zaturn) 🐍 🏠 🪟 🐧 🍎 - Link multiple data sources (SQL, CSV, Parquet, etc.) and ask AI to analyze the data for insights and visualizations.
 - [mckinsey/vizro-mcp](https://github.com/mckinsey/vizro/tree/main/vizro-mcp) 🎖️ 🐍 🏠 - Tools and templates to create validated and maintainable data charts and dashboards.
 - [optuna/optuna-mcp](https://github.com/optuna/optuna-mcp) 🎖️ 🐍 🏠 🐧 🍎 - Official MCP server enabling seamless orchestration of hyperparameter search and other optimization tasks with [Optuna](https://optuna.org/).
+- [pramod/kaggle](https://github.com/KrishnaPramodParupudi/kaggle-mcp-server) 🐍 - This Kaggle MCP Server makes Kaggle more accessible by letting you browse competitions, leaderboards, models, datasets, and kernels directly within MCP, streamlining discovery for data scientists and developers.
 - [phisanti/MCPR](https://github.com/phisanti/MCPR) 🏠 🍎 🪟 🐧 - Model Context Protocol for R: enables AI agents to participate in interactive live R sessions.
 - [reading-plus-ai/mcp-server-data-exploration](https://github.com/reading-plus-ai/mcp-server-data-exploration) 🐍 ☁️ - Enables autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort.
 - [subelsky/bundler_mcp](https://github.com/subelsky/bundler_mcp) 💎 🏠 - Enables agents to query local information about dependencies in a Ruby project's `Gemfile`.