Which integrations are available for this server?

Utilizes a specialized IANA-registered YAML format (application/vnd.faf+yaml) to store and manage structured project context, enabling rapid scoring and synchronization of AI-readiness.

How do I use claude-faf-mcp?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@claude-faf-mcp create a project.faf for my Express API with JWT auth" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

claude-faf-mcp by Wolfe-Jam

.FAF optimizes AI for your codebase. At 100% (Gold Code), AI stops guessing and starts knowing. Live bi-sync between .faf ↔ CLAUDE.md means zero context-drift — your project DNA stays aligned with AI, forever.

Claude Code NPM Downloads npm version Chrome Web Store Website License: MIT

The Problem: Context-Drift

AI assistants forget. They misunderstand. They drift.

Every new session, every new file, every new developer — AI starts guessing again. Your codebase context leaks away. Yesterday's perfect assistant becomes today's confused intern.

.FAF fixes this permanently.

The Solution: Gold Code

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🏆 FAF AI-READINESS SCORE: 100/100 — GOLD CODE ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ At 100%, AI is optimized. No more guessing. Peak AI performance activated. ├─ Project DNA locked in ├─ Zero context-drift ├─ Architecture understood ├─ Eternal bi-sync active ├─ Domain model captured ├─ Team alignment permanent └─ Every session starts smart └─ AI works WITH you, not around you ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Gold Code = AI Optimized. Your project DNA lives in project.faf. AI reads it instantly. Context never drifts.

🔄 Eternal Bi-Sync

The magic: .faf ↔ CLAUDE.md stay synchronized in milliseconds.

project.faf ←──── 8ms ────→ CLAUDE.md │ │ └── Single source of truth ──┘

Update either file → both stay aligned
Zero manual maintenance
Works across teams, branches, sessions
Context never goes stale

Tier System: From Blind to Optimized

Tier	Score	Status
🏆 Trophy	100%	AI Optimized — Gold Code
🥇 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 is guessing half the time. At 100%, AI is optimized.

💎 Lifecycle Value

Setup savings get you started. Lifecycle optimization keeps you ahead.

When	Without FAF	With FAF
Day 1	20 min setup per dev	0 min — instant context
Month 1	AI forgets between sessions	AI remembers everything
Year 1	New devs re-explain everything	New devs inherit full context
Year 3+	Institutional knowledge lost	Project DNA preserved forever

Setup savings: 20 minutes. Lifecycle savings: Infinite.

⚡ Quick Start

Copy and paste this to Claude/your AI:

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.

One-Click Alternative: Desktop Extension (.mcpb)

🛠️ 52 MCP Tools

All tools run standalone — zero CLI dependencies, 16.2x faster than process spawning.

Tool	Purpose
`faf_init`	Initialize project DNA
`faf_score`	Check AI-readiness (0-100%)
`faf_sync`	Bi-sync .faf ↔ CLAUDE.md
`faf_auto`	Auto-detect and populate context
`faf_enhance`	Intelligent enhancement
`faf_quick`	Lightning-fast creation (3ms)
`faf_readme`	Extract 6 Ws from README (+25-35% boost)
`faf_sixws`	NEW: 6Ws Builder - Interactive web form + CLI integration
`faf_human_add`	Add human context (Claude Code compatible)

Performance: 19ms average execution. Fastest: 1ms.

✨ New in v4.3.0: 6Ws Builder

Answer 6 questions to create AI-ready context:

WHO - Who is this for?
WHAT - What does it do?
WHERE - Where does it run?
WHY - Why does it exist?
WHEN - When to use it?
HOW - How to get started?

Complete Workflow in Claude Desktop:

User → Claude: "Help me add context to my project" Claude → User: "Visit faf.one/6ws to fill out the 6 questions" User → Fills form → Copies human_context YAML User → Claude: [Pastes YAML] Claude → Uses faf_human_add tool → Context merged! Claude → Runs faf_score → Shows new AI-readiness score ✨

Two ways to use:

Web (Recommended): faf.one/6ws — Fill form, copy YAML, use faf_human_add in Claude
CLI: faf 6ws — Interactive paste-back workflow (terminal)

Score Boost: Completing all 6 Ws typically adds +25-35% to your AI-readiness score!

Works with Claude, Gemini, Grok, Cursor, Codex, WARP, any AI assistant.

📄 Alternative: Auto-Extract from Existing README

Already have a README.md? Skip the form and extract context automatically:

In Claude Desktop:

User → Claude: "Extract context from my README" Claude → Uses faf_readme tool → Automatically extracts WHO/WHAT/WHERE/WHY/WHEN/HOW Claude → Shows extracted context with confidence scores User → "Merge it!" Claude → Uses faf_readme { merge: true } → Context added to project.faf Claude → Runs faf_score → Shows new AI-readiness score ✨

What faf_readme extracts:

WHAT: Project description, taglines, TL;DR sections
WHY: Problem statements, benefits, motivation
WHO: Target audience ("for developers", "built for teams")
WHERE: Platforms (npm, pip, Docker, cloud, browser)
WHEN: Status badges, version info, test counts
HOW: Quick Start commands, installation instructions

Usage:

// Just extract (see what's found) faf_readme // Extract and merge into project.faf faf_readme { merge: true } // Overwrite existing fields faf_readme { merge: true, overwrite: true }

Same score boost: +25-35% typical, instant results, zero manual work!

🎯 The .FAF Position

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

.FAF is the foundational layer. Universal context format. IANA-registered (application/vnd.faf+yaml). Works with any AI.

📦 Ecosystem

faf-cli — CLI tool v4.3.0 (21k+ downloads, 671/671 tests passing)
faf.one/6ws — 6Ws Builder (Web + CLI integration)
MCPaaS — MCP as a Service (The Endpoint for Context)
faf-wasm — WASM SDK (<5ms scoring)
Chrome Extension — Browser integration
faf.one — Official website

📚 Documentation

📄 License

MIT License — Free and open source

Zero drift. Eternal sync. AI optimized. 🏆

"It's so logical if it didn't exist, AI would have built it itself" — Claude

claude-faf-mcp