Borrowing it
Nothing to install: this file belongs to zengwenliang416/banana-image-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/zengwenliang416/banana-image-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/zengwenliang416/banana-image-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/zengwenliang416/banana-image-mcp/claude-md)<a href="https://agentmods.dev/instructions/zengwenliang416/banana-image-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/zengwenliang416/banana-image-mcp/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/zengwenliang416/banana-image-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/zengwenliang416/banana-image-mcp/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 | $0.00859 | $0.00859 |
| Opus 5 | $0.00430 | $0.00430 |
| Sonnet 5 | $0.00172 | $0.00172 |
| Haiku 4.5 | $0.00086 | $0.00086 |
Grade A, and why
banana-image-mcp 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 12d 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 — 105 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 Banana Image 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.
Key Capabilities
- 4K Resolution: Up to 3840px professional-grade outputs
- Google Search Grounding: Real-world knowledge integration for factual accuracy
- Advanced Reasoning: Configurable thinking levels (LOW/HIGH) for complex compositions
- Media Resolution Control: Fine-grained vision processing tuning
- Intelligent Model Selection: Automatic routing based on prompt analysis
Architecture
ModelSelector: Service for intelligent model routing and selection logicProImageService: Dedicated service for Gemini 3 Pro Image operationsFlashImageService: Service for Gemini 2.5 Flash Image operationsBaseImageService: Abstract base class for image services- Multi-tier configuration:
ModelSelectionConfig,ProImageConfigalongside existingGeminiConfig
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)
fastmcp dev banana_image_mcp.server:create_app
# Direct Python execution
python -m banana_image_mcp.server
# HTTP transport mode
FASTMCP_TRANSPORT=http python -m banana_image_mcp.server
Development Workflow
# Start development server (clean startup)
./scripts/cleanup-ports.sh && fastmcp dev banana_image_mcp.server:create_app
# Code formatting and linting
ruff format .
ruff check .
# Type checking
mypy .
# Run tests
pytest
pytest --cov=. --cov-report=html
# Run specific test categories
pytest -m unit
pytest -m integration
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.
- 12d ago First seen · 105 lines · 859 tokens per session scan A 71cf272110fd
banana-image-mcp CLAUDE.md is an instructions file published in the GitHub repository zengwenliang416/banana-image-mcp (12 stars, last pushed 6mo ago), licensed MIT. It adds 859 tokens to every session, about $0.0043 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 2026-08-30.
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