Borrowing it
Nothing to install: this file belongs to QuorumEarth/nanobanana-mcp-server. 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/QuorumEarth/nanobanana-mcp-server/master/CLAUDE.mdgit clone --depth 1 https://github.com/QuorumEarth/nanobanana-mcp-serverWrote 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/quorumearth/nanobanana-mcp-server/claude-md)<a href="https://agentmods.dev/instructions/quorumearth/nanobanana-mcp-server/claude-md"><img src="https://agentmods.dev/badge/instructions/quorumearth/nanobanana-mcp-server/claude-md/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/instructions/quorumearth/nanobanana-mcp-server/claude-md"><img src="https://agentmods.dev/badge/instructions/quorumearth/nanobanana-mcp-server/claude-md.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 | $0.03253 | $0.03253 |
| Opus 5 | $0.01626 | $0.01626 |
| Sonnet 5 | $0.00651 | $0.00651 |
| Haiku 4.5 | $0.00325 | $0.00325 |
Grade A, and why
nanobanana-mcp-server CLAUDE.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 10d 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.
This is a copy
88% identical to nanobanana-mcp-server CLAUDE.md — 53 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 354 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
This repository contains a production-ready Nano Banana MCP Server - an AI-powered image generation and editing server that leverages Google's Gemini models through the FastMCP framework. The codebase implements a complete MCP (Model Context Protocol) server with modular architecture, comprehensive error handling, and production-ready features.
Three-Tier Model Architecture
The server supports three Gemini image models with intelligent automatic routing:
| Tier | Model | Best For | Key Features |
|---|---|---|---|
| Flash (2.5) | gemini-2.5-flash-image |
Rapid prototyping, quick iterations | Very fast, low latency, 1024px |
| Flash 3.1 | gemini-3.1-flash-image-preview |
Balanced quality and speed | Thinking/reasoning, grounding, up to 14 reference images, expanded aspect ratios (1:4, 4:1, 1:8, 8:1), 512px option |
| Pro | gemini-3-pro-image-preview |
Professional assets, production-ready | 4K resolution, Google Search grounding, advanced reasoning |
Architecture:
ModelSelector: Three-tier intelligent routing (Flash / Flash 3.1 / Pro) based on prompt analysisFlash31ImageService: Balanced generation with thinking and grounding supportProImageService: 4K generation with grounding and advanced reasoning- Multi-tier configuration:
Flash31ImageConfig,ProImageConfig,ModelSelectionConfig
Development Commands
Environment Setup
# Using uv (recommended)
uv sync
# Set up environment
cp .env.example .env
# Edit .env to add your GEMINI_API_KEY
Running the Server
# FastMCP CLI (recommended for development)
# Note: Use mcp_dev.py wrapper to resolve relative import issues
fastmcp dev mcp_dev.py:app
# Direct Python execution
python -m nanobanana_mcp_server.server
# HTTP transport mode
FASTMCP_TRANSPORT=http python -m nanobanana_mcp_server.server
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.
- 10d ago First seen · 354 lines · 3,253 tokens per session scan A fead3aab1051
nanobanana-mcp-server CLAUDE.md is an instructions file published in the GitHub repository QuorumEarth/nanobanana-mcp-server (0 stars, last pushed 6mo ago), licensed MIT. It adds 3,253 tokens to every session, about $0.0163 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to nanobanana-mcp-server CLAUDE.md, differing in 53 lines, and is treated as a copy.
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