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Nano Banana

NPM · @MINDSTONE/MCP-SERVER-NANO-BANANA · SCANNED AUG 3

Nano Banana MCP server — Google Gemini image generation and editing via Model Context Protocol

+16 this week 60 Trust /100
Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →

Supply Chain Security87
  • No malware found by supply-chain analysis.Pass
  • Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.Partial
  • No install/post-install scripts declared.Pass
  • Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency32
Schema Quality & AI Usability60
  • AI-judged instruction clarity (good).Pass
  • Context-footprint check failed: tool/resource definitions use about 652 tokens (~217/item across 3 items; 3 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
  • Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass

Unverified: 1 category

A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

npm · @mindstone/mcp-server-nano-banana

# add to Claude Code
claude mcp add mindstone-mcp-server-nano-banana -- npx -y @mindstone/mcp-server-nano-banana
# add to Codex CLI
codex mcp add mindstone-mcp-server-nano-banana -- npx -y @mindstone/mcp-server-nano-banana
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "mindstone-mcp-server-nano-banana": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "@mindstone/mcp-server-nano-banana"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add mindstone-mcp-server-nano-banana --command npx --arg -y --arg @mindstone/mcp-server-nano-banana
# ~/.hermes/config.yaml
mcp_servers:
  mindstone-mcp-server-nano-banana:
    command: "npx"
    args: ["-y", "@mindstone/mcp-server-nano-banana"]
// mcp.json
{
  "mcpServers": {
    "mindstone-mcp-server-nano-banana": {
      "command": "npx",
      "args": [
        "-y",
        "@mindstone/mcp-server-nano-banana"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 2 Aug 26 +55
    • Provenance: unverified → fail security
    • Known CVEs: unverified → partial security
    • Install scripts: unverified → pass security
    • Malware scan: unverified → pass security
    • Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
    • License: unverified → fail functional
    • Schema quality: unverified → good functional
    • MCP protocol: unverified → pass functional
    • Maintenance: unverified → pass functional
    • Tool coverage: unverified → 100 functional
    • Dependency health: unverified → partial functional
    • Licence: FSL-1.1-MIT functional
  • 1 Aug 26 −14
    • Tool coverage: 100 → unverified functional
  • 31 Jul 26 −2
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 30 Jul 26 −4
    • Malware scan: pass → unverified security
    • Dependency health: partial → unverified functional
    • Tool coverage: unverified → 100 functional
  • 28 Jul 26 −19
    • Tool coverage: 100 → unverified functional
    • Dependency health: unverified → partial functional
    • First check of Schema quality: unverified functional
  • 27 Jul 26 44

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 3 Aug 2026 · Analysed npm/@mindstone/[email protected]

Provenance none

Ecosystem: npm · Outcome: none

Dependencies 95 packages

95 packages in the resolved dependency tree · 95 deprecated · 29 stale.

The dependency tree was only partially resolved, so these counts may be incomplete.

MCP tools — 3 exposed · ~652 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens
configure_nano_banana_api_key ~102

Save your Gemini API key for NanoBanana image generation. Call this when the user provides their key. WHERE TO GET A KEY: Go to https://aistudio.google.com/api-keys → Create new API key → Copy the key. FREE TIER: Generous free usage for Gemini API. Supports image generation and editing.

NameTypeReqDescription
api_keystringyesGemini API key from https://aistudio.google.com/api-keys

No output schema declared.

No examples provided.

nano_banana_edit ~278

Edit an existing image using Google Gemini's image editing capabilities. Use this when the user wants to modify, edit, or transform an existing image using AI. Provide a source image file path and edit instructions. The edited image will appear inline in the conversation. Examples of edit prompts: - "Remove the background and make it transparent" - "Change the color of the car to red" - "Add a sunset sky in the background" - "Make this photo look like a watercolor painting" - "Remove the person on the right side"

NameTypeReqDescription
aspect_ratiostringAspect ratio for the edited image
modelstringModel to use: "gemini-3.1-flash-image-preview" (Nano Banana 2, default — pro-quality at flash speed, 4K), "gemini-3-pro-image-preview" (Nano Banana Pro — highest quality), or "gemini-2.5-flash-image"…
promptstringyesInstructions for how to edit the image
save_pathstringOptional file path to save the edited image. IMPORTANT: Must be inside the workspace directory so the image can be displayed inline.
source_image_pathstringyesPath to the image file to edit (supports ~ for home directory)

No output schema declared.

No examples provided.

nano_banana_generate ~272

Generate images from text descriptions using Google Gemini's image generation capabilities. Use this when the user asks you to create, generate, draw, or design an image, illustration, or visual content using Gemini/Google AI. The generated image will appear inline in the conversation. You can also save it to disk by providing save_path. Tips for good prompts: - Be specific about style, colors, composition, and mood - Mention artistic styles if relevant (e.g., "watercolor", "minimalist", "photorealistic") - Include details about lighting, perspective, and background

NameTypeReqDescription
aspect_ratiostringAspect ratio for the generated image (default: 1:1)
modelstringModel to use: "gemini-3.1-flash-image-preview" (Nano Banana 2, default — pro-quality at flash speed, 4K), "gemini-3-pro-image-preview" (Nano Banana Pro — highest quality), or "gemini-2.5-flash-image"…
promptstringyesText description of the image to generate
save_pathstringOptional file path to save the image. IMPORTANT: Must be inside the workspace directory so the image can be displayed inline.

No output schema declared.

No examples provided.