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Merge pull request #3989 from ShipItAndPray/add-mcp-turboquant
Add mcp-turboquant to Data Science Tools
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@@ -1023,6 +1023,7 @@ Integrations and tools designed to simplify data exploration, analysis and enhan
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- [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.
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- [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.
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- [ShipItAndPray/mcp-compress](https://github.com/ShipItAndPray/mcp-compress) [](https://glama.ai/mcp/servers/ShipItAndPray/mcp-compress) 📇 🏠 ☁️ 🍎 🪟 🐧 - Data compression MCP server. 7 tools for gzip, brotli, deflate, and TurboQuant quantization. Auto-selects best algorithm. 60x compression on docs. Zero dependencies.
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- [ShipItAndPray/mcp-turboquant](https://github.com/ShipItAndPray/mcp-turboquant) [](https://glama.ai/mcp/servers/ShipItAndPray/mcp-turboquant) 📇 🏠 🍎 🪟 🐧 - LLM quantization via tool call. Convert models to GGUF, GPTQ, and AWQ formats. Recommend optimal quant settings, evaluate quality, and push to Hugging Face Hub.
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- [98lukehall/renoun-mcp](https://github.com/98lukehall/renoun-mcp) [](https://glama.ai/mcp/servers/@98lukehall/renoun-mcp) 🐍 ☁️ - Structural observability for AI conversations. Detects loops, stuck states, breakthroughs, and convergence across 17 channels without analyzing content.
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- [subelsky/bundler_mcp](https://github.com/subelsky/bundler_mcp) 💎 🏠 - Enables agents to query local information about dependencies in a Ruby project's `Gemfile`.
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- [zcaceres/markdownify-mcp](https://github.com/zcaceres/markdownify-mcp) 📇 🏠 - An MCP server to convert almost any file or web content into Markdown
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