Enables AI coding agents and IDEs to synthesize Verilog/SystemVerilog designs with Yosys, inspect cell hierarchies and gate counts, and detect synthesis hazards like inferred latches and combinational loops before physical design flows.
Enables AI coding agents and IDEs to lint, compile, syntax-check, and simulate Verilog/SystemVerilog designs through structured, token-efficient MCP tools with isolated containerized toolchains.
Enables AI coding agents and IDEs to perform AST-backed semantic Verilog/SystemVerilog code reviews, catching race conditions, reset polarity mismatches, and bitwidth truncations while computing a 0–100 RTL quality score.
Enables AI coding agents to discover, generate, and run Cocotb co-simulation testbenches against Verilog/SystemVerilog designs, returning structured pass/fail results and tracebacks without manual simulator or Makefile setup.
Enables RTL simulation and hardware verification with Verilator through automatic testbench generation, natural language queries about simulations, waveform analysis, and protocol-aware testing for Verilog/SystemVerilog designs.
Enables AI assistants to perform Electronic Design Automation (EDA) tasks including Verilog synthesis, simulation, ASIC design flows, and waveform analysis through a unified interface.
