Banana Image MCP

Item: Banana Image MCP
Rating: 71
Author: M8ven

Enables Claude and other AI assistants to generate high-quality images up to 4K resolution using Google's Gemini image models, with support for flexible aspect ratios, natural language editing, and Google Search grounding for accurate results.

→ zengwenliang416/banana-image-mcp · listed on glama

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// key findings

✅

4 tools verified — handlers match their declared behaviour

3 read-only tools verified — handlers contain no write/delete/exec

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

✅

Open source with a license and README

Anyone can audit the code, the license is declared, and the publisher documents what it does.

🔐

You'll be asked for 2 credentials: GEMINI_API_KEY, GOOGLE_API_KEY

These are read from process.env at runtime. Make sure you trust where they’ll be sent.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

🔐 secretGEMINI_API_KEY— "": "your-api-key-here"

🔐 secretGOOGLE_API_KEY

configIMAGE_OUTPUT_DIR— No ~/banana-images Where to save generated images

configFASTMCP_TRANSPORT

configFASTMCP_HOST

configFASTMCP_PORT

configFASTMCP_MASK_ERRORS

configNANOBANANA_MODEL

configNANOBANANA_ALLOWED_INPUT_DIRS

configNANOBANANA_ALLOW_HOME_DIR

configLOG_LEVEL

configLOG_FORMAT

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// improvement guidance — verified publishers only

We have 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

// embed badge in your README

[![M8ven Score](https://m8ven.ai/badge/mcp/zengwenliang416-banana-image-mcp-1yixpc)](https://m8ven.ai/mcp/zengwenliang416-banana-image-mcp-1yixpc)

commit: e52a511b3eb550bcf20da9684885c5fd6fde4ebf

code hash: 76d8bfa1054643574700aa5acfaa092e1113287036ff9966eb42c39b78e3ee6b

verified: 6/26/2026, 9:48:39 AM

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