Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/DojoCodingLabs/nanobanana-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/plugins/dojocodinglabs/nanobanana-mcp/nanobanana-mcp)<a href="https://agentmods.dev/plugins/dojocodinglabs/nanobanana-mcp/nanobanana-mcp"><img src="https://agentmods.dev/badge/plugins/dojocodinglabs/nanobanana-mcp/nanobanana-mcp/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/plugins/dojocodinglabs/nanobanana-mcp/nanobanana-mcp"><img src="https://agentmods.dev/badge/plugins/dojocodinglabs/nanobanana-mcp/nanobanana-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
nanobanana-mcp 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 11d 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.
What it actually says
{
"name": "nanobanana-mcp",
"version": "1.0.0",
"description": "AI image generation and editing for Claude Code via Gemini. Generate, edit, and iteratively refine images using text prompts without leaving your terminal.",
"author": {
"name": "Dojo Coding Labs",
"url": "https://github.com/DojoCodingLabs"
},
"homepage": "https://github.com/DojoCodingLabs/nanobanana-mcp#readme",
"repository": "https://github.com/DojoCodingLabs/nanobanana-mcp",
"license": "MIT",
"keywords": [
"claude-code",
"claude-code-plugin",
"mcp",
"mcp-server",
"image-generation",
"gemini",
"ai-images",
"image-editing",
"nanobanana",
"dojo-coding"
],
"mcpServers": {
"nanobanana": {
"command": "node",
"args": ["${CLAUDE_PLUGIN_ROOT}/dist/index.js"],
"env": {
"GEMINI_API_KEY": "${GEMINI_API_KEY}",
"NANOBANANA_MODEL": "${NANOBANANA_MODEL}"
}
}
}
}
What it installs
The manifest is a name and a version. 1 skill, 3 commands, 1 agent, 1 hook, 1 MCP server travel with it, and installing the plugin installs all of them — 122 tokens a session between them. Each is measured on its own page, and each can be installed alone.
What ships with it
1 file beside plugin.json in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 35 lines scan A 5a13c8449aeb
nanobanana-mcp is a plugin published in the GitHub repository DojoCodingLabs/nanobanana-mcp (1 stars, last pushed 6mo ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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.
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