1. Conduid
  2. Healthcare
  3. .faf = Project DNA ✨ for AI-Context, On-Demand
MCP server · Healthcare

.faf = Project DNA ✨ for AI-Context, On-Demand

33+ MCP tools for .faf Project DNA. AI-ready context for Claude Desktop, VS Code, and any MCP host.

Unclaimed healthcare
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Scored 6 months ago · breakdown

About .faf = Project DNA ✨ for AI-Context, On-Demand

.faf = Project DNA ✨ for AI-Context, On-Demand is an MCP server in the Healthcare category: 33+ MCP tools for .faf Project DNA. AI-ready context for Claude Desktop, VS Code, and any MCP host.

Install

Claude Code
claude mcp add faf-project-dna-for-ai-context-on-demand -- npx -y claude-faf-mcp
npx
npx -y claude-faf-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (14)

faf_aboutWhat the .faf format is

Parameters not published.

faf_autoFill project.faf from the repo's own files, then CLAUDE.md

Parameters not published.

faf_benchBenchmark AI grounding — cold vs with the .faf, graded mechanically, with a receipt

Parameters not published.

faf_contextShow or set the active project; `detail` returns the .faf text

Parameters not published.

faf_doctorDiagnose project.faf: each finding with the tool that fixes it

Parameters not published.

faf_etchRemember a decision across sessions (the project soul, soul.fafm)

Parameters not published.

faf_goThe goal and the 6Ws, by question and answer

Parameters not published.

faf_initCreate project.faf for a folder (faf-cli detects the stack)

Parameters not published.

faf_recallRecall memories from the project soul

Parameters not published.

faf_scoreAI-readiness score (0-100%), from faf-cli

Parameters not published.

Show all 14 tools
faf_setupInstall the SessionStart hook in the project settings (preview first)

Parameters not published.

faf_syncWrite CLAUDE.md from project.faf — `agents`/`cursor`/`gemini`/`copilot`/`all` also write AGENTS.md / .cursorrules / GEMINI.md / copilot-instructions.md

Parameters not published.

faf_tri_syncWrite faf's block into the MEMORY.md Claude Code loads for this project 🐘

Parameters not published.

faf_trustValidate project.faf and return a trust receipt for its score

Parameters not published.

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README

claude-faf-mcp

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

Anthropic MCP CI npm version NPM Downloads

FAF defines. MD instructs. AI codes.

🐘 tri-sync now free for all builders — .faf ↔ CLAUDE.md ↔ MEMORY.md in one command. Pro feature. Now free.

⚡ New: /faf prompt — type /faf in 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?

Full tool reference →


🐘 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)

CI Dashboard →


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

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About .faf = Project DNA ✨ for AI-Context, On-Demand

How do I install .faf = Project DNA ✨ for AI-Context, On-Demand?

Run claude mcp add faf-project-dna-for-ai-context-on-demand -- npx -y claude-faf-mcp, then add the server to your MCP client's configuration.

Is .faf = Project DNA ✨ for AI-Context, On-Demand safe to use with an AI agent?

Its trust score is 37 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is .faf = Project DNA ✨ for AI-Context, On-Demand still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.