Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
Lets AI agents explore elaborated SystemVerilog/Verilog designs (RTL or gate-level netlists) without pasting RTL into context: trace signal fan-in/fan-out, walk module hierarchy, and jump to exact file:line source, backed by the najaeda netlist engine.
AI-powered task management system for AI-driven development. Features PRD parsing, task expansion, multi-provider support (Claude, OpenAI, Gemini, Perplexity, xAI), and selective tool loading for optimized context usage.