Nanobanana (npm) MCP Server
mcp-nanobanana
npm
Published by an unidentified publisher — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 13 = 87. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −5 | publisher verification (unlocatable) — no provenance and no public repository to inspect |
| −8 | inspection depth (metadata) — how much of the target the scan could see |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Findings 0
What this scan could not see
- No tools were enumerated, so prompt-injection, capability and toxic-flow analysis had no tool surface to inspect. To grade a package’s real runtime tools, scan the running server: --command "npx -y <package>".
- The implementation source was not read — this reflects registry metadata only. Add --online to fetch and analyze the published package source.
Versions 1
Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
— latest |
B 87/100 | 0 | 1.13.0 | 2026-09-07 |
Embed this score
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
Verify this score yourself
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
npx mcptrustchecker scan mcp-nanobanana --onlineOther implementations of Nanobanana 7
Independent packages implementing the same tool, scanned with the same engine. Compare all 8 side by side →
MCP server for creating and editing images using Google's Gemini 2.5 Flash Image model (nanobanana)
MCP server for Gemini 3.1 Flash with vision, chat, and image generation capabilities
Lean MCP server for Google's Nano Banana (Gemini) image models. Generates and edits images, returns file paths.
MCP server for Google Gemini image generation (Nano Banana)
MCP server for Google Nano Banana image generation (Gemini)
A production-ready MCP server for AI-powered image generation using Gemini 3.1 Flash Image (Nano Banana 2, default), Gemini 3 Pro Image, and Gemini 2.5 Flash Image with intelligent model selection
More in Design & Media
Turn designs into shipped parts: quote 3D printing, CNC, and decals, then check out.
Aleph's official SiliconFlow media-generation MCP server (image / video / TTS)
MCP server for image generation using Google Gemini AI
Ambience AI MCP Server - Generate images, videos, and audio through Model Context Protocol
MCP server exposing every endpoint of the AstroWay Calculation API as tools — natal, synastry, transits, Vedic dashas, Tarot, Numerology, Human Design, AI horoscopes — for Claude Desktop, Cursor and any MCP-compatible AI agent.
Audio-guide and trip-planning tools for 1,100+ cities from Audiala. Free, no API key.