faf_bench
Benchmark AI grounding — cold vs .faf, with a ✪ receipt
How to use it
faf_bench is exposed by the Claude Faf MCP MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), and the faf_bench tool becomes available to the model automatically. See the full listing for setup details and every tool this server provides.
Install Claude Faf MCP
npx faf-cli autoOther tools in Claude Faf MCP (22)
What is .faf?
Import/export AGENTS.md (OpenAI Codex)
Auto-detect stack and populate context
Validate .faf structure
Import/export Conductor directory
Import/export .cursorrules (Cursor IDE)
Environment inspection
Diagnose and fix common issues
Discover all formats in your project
Import/export GEMINI.md (Google Gemini)
Extract context from any GitHub repo URL
Guided interview to Gold Code
Add human context (the 6Ws)
Initialize project DNA
Lightning-fast creation (3ms)
Read any file
Extract context from README (+25-35% boost)
AI-readiness score (0-100%) with breakdown
Project status overview
Sync .faf → CLAUDE.md — agents/cursor/gemini/copilot/all also emit AGENTS.md / .cursorrules / GEMINI.md / copilot-instructions.md
Tri-sync .faf ↔ CLAUDE.md ↔ MEMORY.md — Pro feature, free for developers 🐘
Write any file