NanoBananaMCP (Agentchengfeng/gemini-mcp) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 1 tool. No publisher has claimed this listing.

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C
Emerging
74/100
8 days ago

NanoBananaMCP

Gemini MCP 是一个基于 Google Gemini 2.0 Flash 模型的 MCP（Model Context Protocol）服务器，专门用于图像分析和处理。它可以无缝集成到 Claude Desktop、Cursor 等支持 MCP 协议的 AI 助手中，提供强大的视觉理解能力。 - 多模态分析：支持图片内容理解、场景识别、文字提取等 - 灵活输入：支持本地文件路径、网络 URL、Base64 编码等多种图片输入方式 - 流式响应：实时流式输出分析结果，提升用户体验 - 智能存储：自动保存处理结果和

→ Agentchengfeng/gemini-mcp· listed on modelscope

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

Code Verified⚡ Live Monitored: not connected

Verified is a snapshot. Live keeps it current, and builds your track record.

⚡ Connect GitHub → continuous verification on every pushwhy connect →

Who stands behind it

Agentchengfeng

Source: modelscope

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find. Or connect your repo for our deepest verification, Live Monitored: read-only, revoke anytime. What we access →

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Install from

modelscope

M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.

// key findings
✅
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, PYPI_TOKEN
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
🔐 secretGEMINI_API_KEYGemini API 密钥（必需） -
configAPI_BASE_URL
configMODEL_NAME
configGEMINI_MCP_OUTPUT_DIR
🔐 secretPYPI_TOKEN
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

1/1 tools missing one or more hints — send_images_to_gemini (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint). OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Tests exist

No test files found

Add tests that exercise each declared tool.

Secrets never reach shell commands

1 secret value passed to a subprocess as an argument — no shell is invoked, so there is nothing to inject into

Never pass secrets through shell commands. Use library APIs that accept credentials as arguments.

Secrets not logged

1 secret value sent to print

Redact or omit secret values from log output.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 5 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/agentchengfeng/gemini-mcp)](https://m8ven.ai/mcp/agentchengfeng/gemini-mcp)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: d14bef79714ca682a61e000d7a3a3de564f49819
code hash: f80efa81a37a77a79187b1643ae1f0de578cabaa4ac77a2c8d8a6ec83b16ebc5
verified: 9/2/2026, 11:17:59 AM
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