Nanobanana Mcp

io.github.getjoystick由 GitHub 账号 getjoystick 发布v0.1.2更新于 Oct 24, 2026

Lean MCP server for Google's Nano Banana (Gemini) image models. Returns file paths, not base64.

已验证STDIO仅桌面媒体与设计AI 与机器学习

概览

AI 生成的概览

本地 MCP 服务器,让助手用 Google Gemini 模型生成和编辑图片、制作 Veo 视频,并把文件存到磁盘后返回路径。

可以做什么
  • 根据提示词生成图片,可设置宽高比、分辨率、Google 搜索接地和思考等级
  • 用一张或多张参考图编辑图片,实现风格迁移、角色一致或合成
  • 以文本或起始帧启动 Veo 视频任务,支持参考图、负面提示词和人物生成设置
  • 轮询视频任务并把完成的片段保存为 mp4,返回路径和 Veo URI
  • 把已有的 Veo 片段延长约七秒
  • 列出当前 API 密钥可用的图片和视频模型 id
适用场景
适合希望助手在编程或桌面客户端内直接产出、修改图片和短视频,又不愿让 base64 数据占满上下文的场景。适用于需要落盘素材的工作流,例如效果图、信息图或短片。
运行要求
通过 npx 从 npm 包在本地运行,需要 Node.js。需要 GEMINI_API_KEY 中的 Gemini API 密钥(GOOGLE_API_KEY 也可);可选 NANOBANANA_MODEL、NANOBANANA_VIDEO_MODEL 和 NANOBANANA_OUTPUT_DIR 设置默认值。需要访问 Google API 的网络,视频还需已开通计费的密钥。
安装前请注意
Gemini API 密钥通过环境变量传入,可访问付费 API。Veo 视频没有免费额度,按输出秒数计费,视频调用会产生费用。生成的文件会写入磁盘(默认 ./nano-banana)。生成的视频在服务端约两天后删除,续写所需的 Veo URI 也随之失效。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Nanobanana Mcp,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

@nanobanana/mcp 🍌

A lean MCP server for Google's Nano Banana (Gemini) image models and Veo video models. It generates and edits images and generates video from any MCP client (Claude Code, Claude Desktop, Cursor) and hands back file paths instead of base64, so your agent's context stays small.

  • Six tools and nothing else: generate_image, edit_image, generate_video, extend_video, get_video_result, list_models
  • Defaults to Nano Banana 2 (gemini-3.1-flash-image) and Veo 3.1 Fast (veo-3.1-fast-generate-preview). Switch models per call or via env. If a pinned model id ever goes stale, list_models shows what your key can actually use.
  • Multi-image editing: pass reference images for style transfer, characters, or compositing
  • Control over aspect ratio (1:1 through 21:9, out to 1:4 and 8:1) and resolution (512, 1K, 2K, 4K)
  • Google Search grounding for images that need real-world accuracy, like infographics
  • Video as a job, not a blocked call: generation takes 1–6 min, so generate_video returns a job id and get_video_result polls within every client's 60s timeout
  • Safe output paths. The server never writes to / when a desktop MCP client spawns it there.
  • Auth lives in env vars only, so your API key never passes through chat context

Quick start

Get a free Gemini API key at aistudio.google.com/apikey.

Claude Code

bash
claude mcp add nanobanana -e GEMINI_API_KEY=your_key -- npx -y @nanobanana/mcp

Also listed in the MCP Registry as io.github.getjoystick/nanobanana-mcp.

Claude Desktop / Cursor: add this to claude_desktop_config.json or .cursor/mcp.json:

json
{  "mcpServers": {    "nanobanana": {      "command": "npx",      "args": ["-y", "@nanobanana/mcp"],      "env": { "GEMINI_API_KEY": "your_key" }    }  }}

Tools

generate_image

ParamRequiredDescription
prompt✅Image description
modelGemini image model id (default gemini-3.1-flash-image)
aspectRatio1:1, 16:9, 9:16, 21:9, extremes up to 1:4 and 8:1
size512, 1K, 2K, or 4K
groundingGround with Google Search for factual accuracy
thinkingLevelminimal or high; high helps complex or text-heavy images
outputDirSave directory (default ./nano-banana)
filenameBase filename without extension

edit_image

Same params, plus:

ParamRequiredDescription
images✅Input file path(s): png, jpg, webp, heic, or pdf. The first is the base; the rest are references.

Both tools save to disk and return the file path.

list_models

Takes no params. Lists the image and video model ids your API key can use, in two sections. Handy when a pinned model id stops working, which is how earlier Nano Banana servers broke — and Veo's ids are previews that will be renamed.

Video

Veo generation takes 1–6 minutes, and MCP clients kill a tool call at ~60s. So video is a job: you start one, then poll.

generate_video   →  "Video job started: <jobId>"get_video_result →  "Still processing (<jobId>)…"   ← blocks up to 45s, then call againget_video_result →  "Saved: /path/to/clip.mp4 (veo-3.1-fast-generate-preview)                     Veo URI (needed for extend_video; expires ~2 days): https://…"

get_video_result does the waiting for you — each call blocks up to waitSeconds (45 by default, the most that fits inside a client's 60s timeout). Call it right away and call it again the moment it returns; there is no need to pause in between, which matters because an agent has no way to sleep.

The job id carries everything the server needs, so it keeps working even if the server process restarts in between. Download promptly: Google deletes generated videos server-side after ~2 days — and that server-side copy is the only thing extend_video can extend, so keep the Veo URI if you plan to continue the shot.

Animating an image you just generated? Give generate_image an aspectRatio of 16:9 or 9:16 first. Veo only outputs those two ratios and crops the frame you hand it, so a square image loses its edges — and you pay for the clip either way.

generate_video

ParamRequiredDescription
prompt✅Scene, motion, camera, and any dialogue or SFX — Veo generates native audio
imageImage path used as the starting frame (image-to-video). Veo crops it to aspectRatio, so make it 16:9 or 9:16.
referenceImagesImage paths for character/object/style consistency: up to 3 for asset, only 1 for style. Not combinable with image; not supported by Lite.
referenceTypeasset (characters, objects, scenes — default) or style (aesthetics)
modelVeo model id (default veo-3.1-fast-generate-preview)
aspectRatio16:9 or 9:16
resolution720p, 1080p, or 4k; 1080p and 4k require durationSeconds: 8
durationSeconds4, 6, or 8; must be 8 with referenceImages or 1080p/4k
negativePromptWhat should not appear
personGenerationallow_all (text-to-video and extension only) or allow_adult. Image-based generation — image, referenceImages — requires allow_adult, and EU/UK/CH/MENA accept only allow_adult.

Frames (image, referenceImages) must be png or jpg.

extend_video

Extends a Veo-generated clip by ~7s, continuing from its final second. Input up to ~141s, output up to ~148s across at most 20 extensions, always 720p. Not supported by Lite.

Extension runs on Google's copy of the video, not on your local file — pass the Veo URI that get_video_result prints. It expires with the video after ~2 days.

ParamRequiredDescription
prompt✅What happens next
video✅The Veo URI from get_video_result (an https:// URI, not a file path)
modelVeo model id (default veo-3.1-fast-generate-preview); Lite cannot extend
negativePromptWhat should not appear

get_video_result

ParamRequiredDescription
jobId✅The id returned by generate_video / extend_video
waitSecondsHow long this call blocks waiting for the job (default 45, which is also the max)
outputDirSave directory (default ./nano-banana)
filenameBase filename without extension

Saves the finished video as .mp4 and returns the absolute path, plus the Veo URI of the server-side copy that extend_video needs.

Configuration

Env varDescription
GEMINI_API_KEYRequired. Gemini API key (GOOGLE_API_KEY also works)
NANOBANANA_MODELDefault image model override
NANOBANANA_VIDEO_MODELDefault video model override
NANOBANANA_OUTPUT_DIRDefault output directory override

Models

Model idNotes
gemini-3.1-flash-imageDefault. Nano Banana 2: 4K output, strong text rendering
gemini-3-pro-imageNano Banana Pro, for complex scenes that need deeper reasoning
gemini-2.5-flash-imageThe original Nano Banana (legacy; Google retires it 2026-10-02)

Video models

Veo has no free tier — you need a billing-enabled API key, and you are charged per second of output.

Model idPrice8s clipNotes
veo-3.1-fast-generate-preview$0.10/s~$0.80Default. Full feature set; best quality-per-dollar
veo-3.1-generate-preview$0.40/s~$3.20Full feature set; highest fidelity
veo-3.1-lite-generate-preview$0.05/s~$0.40Cheapest; text- and image-to-video only — no extension, no reference images, 1080p max

All three do text-to-video, image-to-video, and native audio. Extension, reference images, and 4k are Veo 3.1 and 3.1 Fast only. Clips are 4, 6, or 8 seconds, in 16:9 or 9:16.

Development

bash
npm installnpm run buildGEMINI_API_KEY=your_key npm run smoke   # end-to-end test against the live APIGEMINI_API_KEY=your_key SMOKE_VIDEO=1 npm run smoke   # also generates a 4s clip (~$0.20)

Acknowledgements

Inspired by other Nano Banana MCPs. Built with Claude Code.

License

MIT

来源:README.md,提交 697550f

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v0.1.2最新Sep 16, 2026

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