claude-faf-mcp

Tell AI what you're building, who it's for, and why it matters. 30 seconds. 🐘 It never forgets.

33 MCP tools. IANA-registered format (application/vnd.faf+yaml). 2,346 test executions per push.

The 3Ws — 3 Answers. That's It.

Every great product started with 3 answers to the 3Ws — Who, What, Why:

	WHO is it for?	WHAT does it do?	WHY build it?
Uber	People who need a ride	Tap a button, car arrives	Taxis were broken
Airbnb	Travelers who can't afford hotels	Stay in someone's spare room	Millions of empty rooms exist
Slack	Teams drowning in email	Organized group messaging	Decisions buried in threads
Venmo	Friends splitting bills	Send money instantly	Someone always forgets to pay back

Same pattern. Every product that works starts here. .faf captures it:

human_context:
  who: "people who need a ride across town"
  what: "tap a button, car arrives in minutes"
  why: "taxis are slow, expensive, and hard to find"

30 seconds. Claude builds your project.faf from this. Every session after, AI starts smart.

The 6Ws — For Optimized AI

3Ws gets you started. For fully optimized AI, complete the set — Where, When, How:

  where: "mobile app, iOS and Android"    # where does it live?
  when: "launch in 3 months"              # when is it shipping?
  how: "GPS matching, real-time pricing"  # how does it work?

3Ws initiates the project with AI. 6Ws optimizes AI to 100%. Same YAML, same file. More examples → faf.one/ideas

Quick Start

Copy and paste this to Claude:

Install the FAF MCP server: npm install -g claude-faf-mcp, then add this to my claude_desktop_config.json: {"mcpServers": {"faf": {"command": "npx", "args": ["-y", "claude-faf-mcp"]}}} and restart Claude Desktop.

Then tell Claude your 3Ws: "I'm building [what] for [who] because [why]"

How It Works

You → 3 answers → project.faf → AI reads it → every session → forever

project.faf  ←── 8ms ──→  CLAUDE.md     (bi-sync, free)
project.faf  ←── 8ms ──→  MEMORY.md     (tri-sync, Pro 🐘)

Claude does the rest. Zero-effort, right first time, fast, accurate, done. Language, framework, package manager, build tools — all auto-detected from your existing files. The human context is the part only you can give.

Scoring: From Blind to Optimized

Tier	Score	What it means
🏆 Trophy	100%	Gold Code — AI is optimized
🥇 Gold	99%+	Near-perfect context
🥈 Silver	95%+	Excellent
🥉 Bronze	85%+	Production ready
🟢 Green	70%+	Solid foundation
🟡 Yellow	55%+	AI flipping coins
🔴 Red	<55%	AI working blind
🤍 White	0%	No context at all

At 55%, AI guesses half the time. At 100%, AI knows your project. Same compiler as faf-cli — same score everywhere.

33 MCP Tools

All tools run standalone — zero CLI dependencies, 19ms average execution.

Create & Detect

Tool	Purpose
`faf_init`	Initialize project DNA
`faf_auto`	Auto-detect stack and populate context
`faf_quick`	Lightning-fast creation (3ms)
`faf_readme`	Extract context from README (+25-35% boost)
`faf_formats`	Discover all formats in your project
`faf_git`	Extract context from any GitHub repo URL
`faf_human_add`	Add human context (the 6Ws)

Validate & Score

Tool	Purpose
`faf_score`	AI-readiness score (0-100%) with breakdown
`faf_check`	Validate .faf structure
`faf_doctor`	Diagnose and fix common issues
`faf_go`	Guided interview to Gold Code

Sync & Persist

Tool	Purpose
`faf_sync`	Sync .faf → CLAUDE.md
`faf_bi_sync`	Bi-directional .faf ↔ CLAUDE.md
`faf_tri_sync`	Tri-sync to MEMORY.md (Pro — 14-day free trial)
`faf_enhance`	Intelligent enhancement

Export & Interop

Tool	Purpose
`faf_agents`	Import/export AGENTS.md (OpenAI Codex)
`faf_cursor`	Import/export .cursorrules (Cursor IDE)
`faf_gemini`	Import/export GEMINI.md (Google Gemini)
`faf_conductor`	Import/export Conductor directory

Read & Write

Tool	Purpose
`faf_read`	Read any file
`faf_write`	Write any file
`faf_status`	Project status overview
`faf_debug`	Environment inspection
`faf_about`	What is .faf?

Full tool reference →

🐘 Nelly Never Forgets (Pro)

bi-sync keeps .faf ↔ CLAUDE.md aligned. Free forever.

tri-sync adds MEMORY.md — your AI remembers across sessions. Feed Nelly, she never forgets.

bi-sync  = .faf ↔ CLAUDE.md              ← free forever
tri-sync = .faf ↔ CLAUDE.md ↔ MEMORY.md  ← Pro 🐘

$3/mo · $19/yr · $29/yr Global. 14-day free trial, no signup. Friends of FAF → faf.one/pro

The .FAF Position

Model        Context          Protocol
─────        ───────          ────────
Claude    →   .faf        →    MCP
Gemini    →   .faf        →    MCP
Codex     →   .faf        →    MCP
Any LLM   →   .faf        →    MCP

IANA-registered (application/vnd.faf+yaml). Works with any AI. Define once, use everywhere.

Ecosystem

Package	Platform	Registry
claude-faf-mcp (this)	Claude	npm
faf-cli	Universal CLI	npm + Homebrew
gemini-faf-mcp	Google Gemini	PyPI
grok-faf-mcp	xAI Grok	npm
rust-faf-mcp	Rust	crates.io
faf-wasm	Browser/Edge	npm
Chrome Extension	Browser	Chrome Web Store

Same project.faf. Same scoring. Same result. Different execution layer.

Quality

391 tests · 12 suites · 6 platforms (ubuntu/macos/windows × Node 18/20)

CI Dashboard →

Privacy

Everything runs locally. No data leaves your machine. No analytics, no telemetry, no tracking, no accounts. Privacy policy →

License

MIT — Free and open source

FAF Family


faf-cli	`npx faf-cli init` — create .faf for any project
claude-faf-mcp	MCP server for Claude Desktop
gemini-faf-mcp	MCP server for Gemini CLI
grok-faf-mcp	MCP server for Grok
faf-mcp	MCP server for Cursor, Windsurf, Cline, VS Code
rust-faf-mcp	MCP server in Rust
faf-skills	17 Claude Code skills
faf.one	Blog, downloads, docs
IANA Registration	`application/vnd.faf+yaml`

format | driven 🏎️⚡️ wolfejam.dev