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.
Multi-LLM deliberation with anonymized peer review. Runs a 3-stage council: parallel responses → anonymous ranking → synthesis. Based on Andrej Karpathy's LLM Council concept.
A council of 49 specialist agents + 93 tools for every major AI CLI (Claude Code, Codex, Gemini, Cursor, Windsurf). Deterministic agents that optionally upgrade to LLM, a self-learning router, cross-CLI memory, and guards for dependency hallucinations and decision drift. No API keys; zero extra cost on subscriptions.