ShipItAndPray/mcp-turboquant
🔌 MCP ServerShipItAndPray
An MCP server that automates LLM quantization, format conversion, and Hugging Face deployment via tool calls.
mcp-turboquant bridges the gap between LLM agents and complex model optimization pipelines. By exposing quantization tasks as MCP tools, it allows developers to manage the lifecycle of model compression without leaving their AI-assisted development environment. The server supports multiple industry-standard formats, including GGUF, GPTQ, and AWQ, making it highly versatile for different inference backends. Key features include automated quality assessment to ensure that quantization does not degrade model performance beyond acceptable thresholds, and integrated Hugging Face Hub connectivity for rapid deployment. This tool is particularly effective for teams looking to automate their model release pipelines, as it allows for programmatic model conversion, testing, and publishing. By leveraging the MCP protocol, it ensures compatibility with a wide range of AI clients, enabling a standardized interface for model engineering tasks.
💡Highlights
- ├─Supports GGUF, GPTQ, and AWQ formats
- ├─Automated HF Hub model deployment
- └─Built-in model quality evaluation
🎯For
- ├─AI Engineers
- └─ML Ops Specialists