An MCP server that provides AI assistants with a persistent, sandboxed Python environment for waveform analysis, enabling loading and manipulation of VCD/FST/FSDB files and temporal pattern matching.
Local MCP server for querying VCD waveform files via SQLite; enables AI agents to ask precise questions about signal values, transitions, and clock cycles without dumping raw VCD text.
Enables AI assistants to analyze hardware simulation VCD waveforms and GTKWave save files, providing access to signal values, bus definitions, and groupings without loading entire files.
A comprehensive Model Context Protocol server that connects AI assistants to Electronic Design Automation tools, enabling Verilog synthesis, simulation, ASIC design flows, and waveform analysis through natural language interaction.
A read-only MCP evidence server for chip verification and RTL debugging that exposes structured design and waveform data from Synopsys Verdi databases via MCP tools and CLI. It provides auditable evidence like contexts, objects, connectivity, traces, waveforms, and source mappings without modifying RTL or design DBs.
This MCP server enables AI agents to understand and analyze electrical schematics from Cadence and Altium for comprehensive design reviews through natural conversations.