Waveform Analysis
Analyzes RTL waveform files from hardware simulations using WAL engine, providing signal discovery with regex filtering, transition analysis within time ranges, waveform length inspection, and direct WAL expression execution for debugging timing issues and extracting specific signal behaviors from V
About
A specialized MCP server by Yossi Nivin that enables AI assistants to analyze RTL waveform files from hardware simulations using WAL (Waveform Analysis Language) as the underlying engine. The implementation provides six core tools for signal discovery with regex filtering, transition analysis within time ranges, waveform length inspection, and direct WAL expression execution for advanced queries, along with comprehensive help and example generation. Supporting both VCD and FST formats through WAL's parsing capabilities, it's designed for hardware engineers and verification teams who need to programmatically analyze simulation results, debug timing issues, or extract specific signal behaviors from complex digital designs without manually navigating waveform viewers.
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