Claude Faf Mcp

claude-faf-mcp — The Instructions Edition

[](https://www.npmjs.com/package/claude-faf-mcp) [](https://faf.one) [](https://www.iana.org/assignments/media-types/application/vnd.faf+yaml)[](https://www.iana.org/assignments/media-types/application/vnd.fafm+yaml) [](https://doi.org/10.5281/zenodo.18251362)[](https://doi.org/10.5281/zenodo.20348942)

Home: faf.one/mcp Live demo: claude.faf.one

Persistent Project Context with Memory, looped for you. One-click setup. 30 seconds. 🐘 Nelly Never Forgets.

[](https://builder.faf.one) [](https://github.com/modelcontextprotocol/servers/pull/2759) [](https://github.com/Wolfe-Jam/claude-faf-mcp/actions/workflows/ci.yml) [](https://www.npmjs.com/package/claude-faf-mcp) [](https://opensource.org/licenses/MIT) [](https://faf-voice.vercel.app/agent)

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.

> v5.15.0 — The Instructions Edition. CFM writes the file Copilot reads — done right. .github/copilot-instructions.md is now genuine, distinct Copilot instructions: a prose overview, a ## Build & run command section, and "every request" framing — not the AGENTS.md content reused. The file Copilot actually reads, done to GitHub's spec.

> v5.14.1 — The Copilot Edition. FAF now writes the file GitHub Copilot reads — from inside Claude. The Core faf_sync gains a copilot flag (all includes it), syncing .github/copilot-instructions.md — Copilot's widest-surface instruction file, read by default across web chat, code review, VS Code, JetBrains, the CLI, and the coding agent — straight from your scored .faf. faf_sync now emits every format (agents/cursor/gemini/copilot/all) from the default surface; the redundant faf_bi_sync is retired. Non-destructive, idempotent.

> 🧡 v5.13.0 — The Heartbeat Edition. Persistent Project Context with Memory, looped for you. Every Claude Code session now opens with a one-line heartbeat that carries the intent the code can't: faf: context ✪ 100% — fresh · +7 intent the code can't carry. The +N is the goal and 6Ws only you can give or confirm — so Claude starts each session grounded in what your project means, not just what it contains.

> 🏆 v5.12.0 — The Proof Edition. faf_bench proves FAF's grounding lift in-session — it asks Claude about your repo cold (no context) and with the .faf, grades mechanically (no judge), and emits a ✪ receipt showing the delta. Promoted to lead the Core tier (13 tools, 36 total). faf_go now bootstraps a cold repo (init → auto → 6Ws), and you can still just type faf to start. Proof, not pitch.

> 🏆 v5.11.0 — The Distilled Edition. claude-faf-mcp, distilled — a curated Core of 12 self-documenting tools, with the interview, README extractor, and server-card all composed from faf-cli's single source (no forks), and faf_go's new Table-of-8 where your goal seeds the 6Ws. Fewer tools, nothing forked, nothing guessed.

> 🏆 v5.10.0 — The Dart Edition. claude-faf-mcp now reads Dart & Flutter — it knows a Flutter app from a pure-Dart CLI. Detection by composition: because CFM composes faf-cli's Turbo-Cat (The Sourced Edition), faf-cli 6.13.0's content-aware, pubspec-driven Dart classifier arrives by construction — no forked parser, no drift. 35 tools, npm audit clean.

> 🏆 v5.9.0 — The Sourced Edition. Every answer comes from one source. faf_go and Turbo-Cat detection now compose faf-cli's single-source engines instead of carrying their own copies — fills come from real evidence or stay honestly empty, nothing guessed. The legacy guessing extractor is gone; the /faf prompt drives to a verified 100% (faf_trust + ✪ parity receipt) and keeps it fresh. FAF don't lie, by construction.

> 🏆 v5.8.0 — The Trust Edition. Claude Code-native context that just works. A native SessionStart hook opens every session with fresh context and a one-line ✪ heartbeat (faf: context ✪ 100% — fresh); tool output is quiet (no emoji, parseable) and typed (structuredContent everywhere); every score carries a deterministic parity hash any engine reproduces, sealed in a self-verifying ✪ receipt. Installed explicitly via faf_setup — preview first, your settings preserved. Built on the Canonical foundation: path-confined file access, edge-direct remote, 35 tools.

13 Core MCP tools (35 with FAF_TOOLS=all). IANA-registered formats (application/vnd.faf+yaml · application/vnd.fafm+yaml). 1,716 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

faf-cli — universal (any AI)

npx faf-cli auto

Same .faf, every surface — Claude, Gemini, Grok, Cursor. faf-cli on npm →

Claude Desktop — click, copy, paste, install

Click — one-click .mcpb

⬇ Download claude-faf-mcp-5.13.0.mcpb

Double-click. Zero-Config — no terminal, no JSON config. 13 Core tools live in 10 seconds.

Copy — paste-prompt to Claude

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

Paste — claude_desktop_config.json

{
  "mcpServers": {
    "faf": { "command": "bunx", "args": ["claude-faf-mcp"] }
  }
}

Install — manual npm

npm install -g 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.

---

For Claude Code teams

.faf lives in the repo. Your context travels with the code — committed, versioned, done.

Every session starts grounded. Install the native SessionStart hook once (faf_setup — preview first, your settings preserved). After that, every Claude Code session opens with a one-line heartbeat instead of a blank slate:

faf: context ✪ 100% — fresh · +7 intent the code can't carry

That line is the relay: Claude already knows your stack and your score — and the +N is the intent the code can't carry: the goal and 6Ws only you can give or confirm. No re-explaining "what this project is" at the top of every session.

It scales to the team by construction:

commit project.faf  →  every teammate's Claude starts with the same context
git clone           →  a new dev's Claude is grounded before they write a line

• One source of truth. .faf ↔ CLAUDE.md stay in sync (bi-sync'd). Add MEMORY.md for cross-session memory (tri-sync 🐘).
• No drift. The score is deterministic — same .faf, same number, on every machine and in CI. A teammate can't be accidentally less grounded than you.
• Local and private. Nothing leaves the machine — no accounts, no telemetry. The context is yours; it just rides in the repo.

Onboarding becomes git clone → grounded. The context a new teammate would normally pick up by asking around is already in the repo, machine-readable, from the first clone.

---

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 | Wolfe, J. (2025). Format-Driven AI Context Architecture: The .faf Standard for Persistent Project Understanding. Zenodo. https://doi.org/10.5281/zenodo.18251362

> Wolfe, J. (2026). Permanent Memory and Instant Recall: The .fafm Standard for Multi-Profile AI Agent Memory. Zenodo. https://doi.org/10.5281/zenodo.20348942

BibTeX

@article{wolfe2025faf,
  title     = {Format-Driven AI Context Architecture: The .faf Standard for Persistent Project Understanding},
  author    = {Wolfe, James},
  year      = {2025},
  month     = {nov},
  publisher = {Zenodo},
  doi       = {10.5281/zenodo.18251362},
  url       = {https://doi.org/10.5281/zenodo.18251362}
}

@article{wolfe2026fafm,
  title     = {Permanent Memory and Instant Recall: The .fafm Standard for Multi-Profile AI Agent Memory},
  author    = {Wolfe, James},
  year      = {2026},
  month     = {may},
  publisher = {Zenodo},
  doi       = {10.5281/zenodo.20348942},
  url       = {https://doi.org/10.5281/zenodo.20348942}
}

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: vnd.faf+yaml | Context format (2025-10-30) | | IANA: vnd.fafm+yaml | Memory format (2026-05-13) |

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 · 2 IANA registrations: vnd.faf+yaml (Context) · vnd.fafm+yaml (Memory) · faf.one · npm

---

Zero-Config. Context that's just there — every session.

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: Wolfe-Jam
• Source: Wolfe-Jam/claude-faf-mcp
• License: MIT
• Homepage: https://faf.one

Install and usage instructions live in the source repository linked above.