From f675077760c4a560d44b85e39da12f5c8329b683 Mon Sep 17 00:00:00 2001 From: ShipItAndPray Date: Thu, 2 Apr 2026 01:28:41 -0500 Subject: [PATCH] Add mcp-turboquant to Data Science Tools LLM quantization MCP server. GGUF/GPTQ/AWQ via tool call. Recommend settings, evaluate quality, push to HF Hub. MIT licensed, Glama verified. Co-Authored-By: Claude Opus 4.6 (1M context) --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 4abb7660..846a4c12 100644 --- a/README.md +++ b/README.md @@ -995,6 +995,7 @@ Integrations and tools designed to simplify data exploration, analysis and enhan - [phuongrealmax/code-guardian](https://github.com/phuongrealmax/code-guardian) 📇 🏠 - AI-powered code refactor engine with 80+ MCP tools for code analysis, hotspot detection, complexity metrics, persistent memory, and automated refactoring plans. - [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. - [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. +- [ShipItAndPray/mcp-turboquant](https://github.com/ShipItAndPray/mcp-turboquant) [![ShipItAndPray/mcp-turboquant MCP server](https://glama.ai/mcp/servers/ShipItAndPray/mcp-turboquant/badges/score.svg)](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. - [98lukehall/renoun-mcp](https://github.com/98lukehall/renoun-mcp) [![renoun-mcp MCP server](https://glama.ai/mcp/servers/@98lukehall/renoun-mcp/badges/score.svg)](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. - [subelsky/bundler_mcp](https://github.com/subelsky/bundler_mcp) 💎 🏠 - Enables agents to query local information about dependencies in a Ruby project's `Gemfile`. - [zcaceres/markdownify-mcp](https://github.com/zcaceres/markdownify-mcp) 📇 🏠 - An MCP server to convert almost any file or web content into Markdown