Enables AI assistants to programmatically control the Surfer waveform viewer for hardware design and verification.
Sponsored
surfer-mcp acts as an intelligent intermediary, allowing AI assistants to programmatically control Surfer, an open-source waveform viewer crucial for hardware design and verification. It establishes a connection using the Waveform Communication Protocol (WCP) and can also parse various waveform file formats directly via pywellen. This server streamlines interactive exploration, enabling AI to load files, navigate hierarchies, manage signal displays, set cursors, analyze signal data by finding edges or values, and even capture screenshots, thereby enhancing automated verification and design workflows.
Key Features
01Load and reload various waveform files (VCD, FST, GHW)
02Browse design hierarchy, listing scopes and signals
03Control viewer elements: add/remove signals, set cursor, zoom, manage viewport
04Read signal data: get values at timestamps, find edges, search for values, get transitions
05Capture Surfer window screenshots (macOS only)
060 GitHub stars
Use Cases
01Automating complex waveform analysis within hardware verification workflows
02Integrating AI-driven insights for interactive chip design debugging and exploration
03Scripting programmatic control of the Surfer viewer for testing or demonstration purposes
