Borrowing it
Nothing to install: this file belongs to hwalde/imagen-tools-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/hwalde/imagen-tools-mcp/master/AGENTS.mdgit clone --depth 1 https://github.com/hwalde/imagen-tools-mcpWrote 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/instructions/hwalde/imagen-tools-mcp/agents-md)<a href="https://agentmods.dev/instructions/hwalde/imagen-tools-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/hwalde/imagen-tools-mcp/agents-md.svg" alt="Measured on agentmods" 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 | $0.01609 | $0.01609 |
| Opus 5 | $0.00805 | $0.00805 |
| Sonnet 5 | $0.00322 | $0.00322 |
| Haiku 4.5 | $0.00161 | $0.00161 |
Grade A, and why
imagen-tools-mcp AGENTS.md 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Imagen Tools MCP — Setup & Konfiguration
Diese Datei ist die einzige Quelle der Projekt-Doku.
CLAUDE.mdimportiert sie per@AGENTS.md, damit Claude Code sie automatisch mitlädt — nicht duplizieren, hier pflegen.
MCP-Server (stdio, Python) für Bildgenerierung und -bearbeitung mit Google Gemini. Läuft auf Windows, macOS und Linux.
Was der Server braucht
| Baustein | Zweck | Pflicht? |
|---|---|---|
| Python ≥ 3.10 | Laufzeit | ja |
google-genai, mcp, Pillow |
siehe requirements.txt |
ja |
| Google-Cloud-Projekt mit aktivierter Vertex AI API | Provider vertex_ai |
ja, für Vertex |
gcloud CLI + Application Default Credentials |
Auth für vertex_ai |
ja, für Vertex |
| Gemini-API-Key (AI Studio) | Provider ai_studio |
nur für AI Studio |
Der Server unterstützt zwei Provider, zwischen denen zur Laufzeit gewechselt werden kann:
vertex_ai(Default) — authentifiziert übergcloud, zuverlässig für alle Operationen.ai_studio— authentifiziert über API-Key, aber Bild-Editing mit dem Flash-Modell schlägt hier reproduzierbar mit 500 Internal Error fehl. Für Editing über AI Studio das Pro-Modell wählen oder aufvertex_aiwechseln.
Installation
pip install -r requirements.txt
Ein venv ist optional — wo systemweites pip erlaubt ist, genügt der Aufruf oben.
Konfiguration über Umgebungsvariablen
Projekt-ID und API-Key kommen ausschließlich aus der Umgebung — keine Zugangsdaten im Code.
Gesetzt werden sie am besten direkt im env-Block des MCP-Eintrags (siehe unten), dann gelten sie
nur für diesen Server und überleben Shell-Neustarts.
Nicht über die Umgebung steuerbar, sondern im Code festgelegt: Start-Provider und -Modell
(DEFAULT_PROVIDER, DEFAULT_MODEL — zur Laufzeit über die switch_*-Tools änderbar), das
90-s-Timeout pro API-Call und MAX_INPUT_EDGE (1568 px).
| Variable | Bedeutung | Default |
|---|---|---|
GOOGLE_CLOUD_PROJECT |
GCP-Projekt-ID. Ohne diese Variable startet der Server nicht (bei Provider vertex_ai). |
— |
GEMINI_API_KEY_NANO_BANANA |
API-Key für Provider ai_studio. |
leer |
IMAGEN_MCP_DEBUG |
0 schaltet das Debug-Log ab. |
1 (an) |
IMAGEN_MCP_LOG_FILE |
Voller Pfad zur Log-Datei. | siehe unten |
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.
- 5d ago First seen · 153 lines · 1,609 tokens per session scan A e22ccb70004f
imagen-tools-mcp AGENTS.md is an instructions file published in the GitHub repository hwalde/imagen-tools-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 1,609 tokens to every session, about $0.0080 per session on Opus 5. 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 instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.