AutoEDA Introduces Natural-Language RTL-to-GDSII Automation System

Researchers Yiyi Lu et al. (v2 Feb 24, 2026) present AutoEDA, a framework using the Model Context Protocol (MCP) to enable end-to-end natural language control of RTL-to-GDSII design flows. AutoEDA deploys MCP-based servers for task decomposition, tool selection, automated error handling, locally fine-tuned LLM agents, a benchmark generation pipeline, and Tcl-specific CodeBLEU enhancements. Experiments show up to 9.9× higher accuracy versus naive methods and roughly 97% token usage reduction.