"RTL" matching MCP servers:

MCP server that gives coding agents right-to-left awareness with tools to lint RTL code, normalize Arabic text, and detect text direction.

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 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.

An MCP server for Arabic UI/UX design, offering tools to generate design tokens, build RTL components, stitch layouts, and audit RTL compliance using Material 3 Expressive and Google Stitch.

Enables evidence-driven debugging of RTL testbench simulation failures by parsing logs and analyzing FSDB/VCD waveforms through a guided MCP workflow.

MCP server for elaborated SystemVerilog and gate-level netlists. Agents query design structure against a real elaboration - what drives this net, what a module instantiates, what registers are in a fanin cone - instead of reading RTL files. Answers come from najaeda's netlist engine, so they reflect post-elaboration connectivity across hierarchy, not text matches.

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.

Enables analysis of RTL waveform files (VCD, FST) through WAL (Waveform Analysis Language). Supports signal inspection, transition extraction, and advanced waveform queries for hardware design verification.

Enables AI agents to query Salesforce DX projects through MCP with compressed component specs, full-text search, dependency relations, annotations, and an interactive architecture map, drastically reducing token usage.

MCP server that exposes the complete Delphi 7 RTL/VCL index as tools for AI agents, enabling precise lookups for symbols, class members, unit interfaces, and source contexts to generate accurate legacy Delphi 7 code.

A minimal MCP server providing a normalized API for code navigation and repository inspection through tools like symbol searching and call tracing. It enables AI agents to perform structured analysis of codebases by mapping endpoints, inspecting file trees, and tracing symbol relationships.