Connect AI agents to a live Synopsys Verdi session through MCP: waveforms, signal values, driver tracing, and RTL source.
View on GitHub ↗Getting started · Tool reference · Architecture · 中文
Give your RTL debugging agent eyes on the waveform
Connect your AI agent to live Synopsys Verdi. Let it find signals, inspect transitions, move through simulation time, and open the driving RTL—all in the same GUI you use to debug.
“Add the FIFO read/write pointers, go 20 cycles before the error, and investigate why full stayed high.”
“When did BVALID drop? Show the handshake signals and the code that drives it.”
Verdi Bridge turns those requests into observations from your simulation and visible actions in nWave and nTrace. The agent reasons; the bridge observes. Sixteen typed MCP tools work locally or over SSH with your existing Verdi setup.
Ask an agent to investigate a bug, then watch it choose signals, inspect live waveforms and navigate RTL. A 1m38s silent demo: an English prompt and original English agent replies beside synchronized Verdi capture. This is a separate English-language run, not a translation. Tool calls are selected by the agent, not a replay script.
https://github.com/user-attachments/assets/b041c1bd-4be5-4040-b281-2f15001b1e35
How this was recorded · Installation tutorial
This prints the bundled Tcl adapter path. Load it in Verdi and connect your MCP client, then use uvx verdi-bridge serve as the stdio server. A licensed Verdi installation is required. Client: Python 3.11+; remote host: Python 3.6+ and Verdi's Tcl 8.6. No vendor software is bundled.
From the project README.
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