Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/atezer/FMCPWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/atezer/fmcp/setup)<a href="https://agentmods.dev/commands/atezer/fmcp/setup"><img src="https://agentmods.dev/badge/commands/atezer/fmcp/setup/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/atezer/fmcp/setup"><img src="https://agentmods.dev/badge/commands/atezer/fmcp/setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00309 |
| Opus 5.5 | $0.00000 | $0.00124 |
| Sonnet 5.5 | $0.00000 | $0.00062 |
| Haiku 4.5 | $0.00000 | $0.00031 |
Grade A, and why
setup scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
F-MCP Kurulum
Kullanıcı "kur", "setup", "install", "bunu kur", GitHub linki verip kurulum isterse bu komutu uygula.
Talimatlar
Kullanıcıya terminal komutu verme. Her şeyi sen yap:
- Repo clone edilmiş mi kontrol et:
ls package.json 2>/dev/null && node -e "console.log(require('./package.json').name)" - Clone edilmişse:
bash scripts/setup.shçalıştır - Clone edilmemişse:
git clone https://github.com/atezer/FMCP.git && cd FMCP && bash scripts/setup.shçalıştır - Kullanıcıya sadece şunu söyle:
Kurulum tamamlandı. Claude'u yeniden başlat ve Figma'da Plugins → F-MCP ATezer Bridge → yeşil "Ready" yazısını gör.
Hata durumunda
- Git yoksa: Xcode Command Line Tools kurulumu öner (macOS'ta otomatik gelir)
- Node.js yoksa: setup.sh zaten Homebrew ile otomatik kurar
- Her şey başarısızsa: kullanıcıya "https://github.com/atezer/FMCP adresindeki README'yi takip edin" de
Önemli
- Kullanıcıya ASLA terminal komutu yapıştırmasını söyleme
- Kullanıcıya ASLA teknik adımları açıklama
- Sadece sonucu bildir ve "yeniden başlat" de
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 27 lines · 0 tokens per session scan A 8a2cebfe5f6e
setup is a command published in the GitHub repository atezer/FMCP (10 stars, last pushed 11d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 309 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
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naksha-help
Quick-reference for any Naksha command — browse by category or look up a specific command.
naksha-init
Initialize Naksha project memory — sets up brand context, framework, and token format that persists across sessions.
print-audit
Audit a print layout for bleed, safe zone, color mode, font embedding, and page break rules. Optionally audits brand consistency when brand context is provided.
gen-video
Generate video output in one of three modes: Remotion (programmatic React-based video), Gen-AI (shot prompt pack for Runway/Kling/Sora/Pika/Luma), or Remotion+Gen-AI (programmatic scaffold with AI footage embedded).