Claude-FAF-MCP
Only Persistent Project Context MCP Server - Official Anthropic Registry
claude-faf-mcp
Persistent Project Context for Claude. 30 seconds. 🐘 It never forgets.
FAF defines. MD instructs. AI codes.
🐘 tri-sync now free for all builders —
.faf↔CLAUDE.md↔MEMORY.mdin one command. Pro feature. Now free.
⚡ New:
/fafprompt — type/fafin Claude Desktop. It checks your project, scores it, drives it to 100%, and syncs. Relentlessly. One command.
32 MCP tools. 1 prompt. 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
One-click install — Claude Desktop
⬇ Download claude-faf-mcp-5.5.1.mcpb
Double-click the downloaded file. Claude Desktop installs it automatically. No terminal. No JSON config. 32 tools live in 10 seconds.
Or — copy-paste 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.
Or — manual npm install
npm install -g claude-faf-mcp
Add to claude_desktop_config.json:
{
"mcpServers": {
"faf": { "command": "npx", "args": ["-y", "claude-faf-mcp"] }
}
}
Restart Claude Desktop.
Then
Type /faf — Claude checks your project, scores it, drives it to 100%, and syncs. Done.
Or 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.
32 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 .faf ↔ CLAUDE.md ↔ MEMORY.md — Pro feature, free for developers 🐘 |
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? |
🐘 Nelly Never Forgets
bi-sync keeps .faf ↔ CLAUDE.md aligned.
tri-sync adds MEMORY.md — your AI remembers your project across every session.
bi-sync = .faf ↔ CLAUDE.md ← always in sync
tri-sync = .faf ↔ CLAUDE.md ↔ MEMORY.md ← Nelly never forgets 🐘
Pro feature, free for developers. Teams & Enterprise: faf.one/pro (plans)
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)
Privacy
Everything runs locally. No data leaves your machine. No analytics, no telemetry, no tracking, no accounts. Privacy policy →
If claude-faf-mcp has been useful, consider starring the repo — it helps others find it.
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
Get the CLI
faf-cli — The original AI-Context CLI. A must-have for every builder.
npx faf-cli auto
Anthropic MCP #2759 · IANA Registered: application/vnd.faf+yaml · faf.one · npm
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