1. Conduid
  2. Social
  3. Gemini Vision
MCP server · Social

Gemini Vision

Analyze images and videos with Gemini to get fast, reliable visual insights. Handle content from URLs and YouTube links. Summarize scenes, identify objects, and extract key details for reports or automation. This is remote version, check local branch in github to use local tools.

Unclaimed last commit a year ago social
34Low

Scored 5 months ago · breakdown

About Gemini Vision

Gemini Vision is an MCP server published by Artin0123 in the Social category: analyze images and videos with Gemini to get fast, reliable visual insights. Handle content from URLs and YouTube links. Summarize scenes, identify objects, and extract key details for reports or automation. This is remote version, check local branch in github to use local tools.

The repository has 2 stars and 0 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/Artin0123/gemini-image-mcp-server

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (2)

analyze_imageAnalyze one or more image URLs. **Maximum file size: 16 MB per image.**

Parameters not published.

analyze_youtube_videoAnalyze a YouTube video from URL. No size limit.

Parameters not published.

Ask AI

✦

Ask AI about Gemini Vision

Powered by Claude · Grounded in docs

I know everything about Gemini Vision. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

  • ✓README presentThe repository ships documentation.

5 checks have not been run yet.

README

image-mcp-server-gemini

smithery badge

This is remote server, use local version for local images and videos.

Features

  • Analyze one or more image URLs with a single tool call.
  • Analyze YouTube videos without downloading files locally.
  • Supply an API key and optionally override the Gemini model via environment variables.
  • File size limit: Images are limited to 16 MB to ensure fast processing.
  • YouTube videos: No size limit as they are streamed directly by Gemini API.

Installation

Installing via Smithery

Install the server in Claude Desktop:

npx -y @smithery/cli install @Artin0123/gemini-image-mcp-server --client claude

Manual Installation

# Clone the repository
git clone https://github.com/Artin0123/gemini-vision-mcp.git
cd gemini-vision-mcp

# Install dependencies
npm install

# Compile TypeScript to dist/
npm run build

Configuration

Create a Gemini API key in Google AI Studio and provide GEMINI_API_KEY to the server.

{
  "mcpServers": {
    "gemini-media": {
      "command": "node",
      "args": ["/absolute/path/to/gemini-vision-mcp/dist/index.js"],
      "env": {
        "GEMINI_API_KEY": "your_api_key_here",
        "GEMINI_MODEL": "models/gemini-flash-lite-latest"
      }
    }
  }
}

If no key is supplied, the server can still start (handy for automated scans), but any tool invocation will return a configuration error until a valid API key is configured.

Model override

The server defaults to models/gemini-flash-lite-latest. Override it by either:

Setting the GEMINI_MODEL environment variable, or Providing modelName in the Smithery/SDK configuration schema.

Available tools

  • analyze_image: Analyze one or more image URLs. Maximum file size: 16 MB per image.
  • analyze_youtube_video: Analyze a YouTube video from URL. No size limit.

Image URLs are downloaded and processed with a 16 MB size limit to ensure fast response times. Files exceeding this limit will result in an error message indicating the actual file size.

YouTube videos are streamed directly by Gemini API without downloading, so there is no size restriction.

Prompt examples

Please analyze this product photo: https://teimg-bgr.pages.dev/file/mvYT6KeF.webp
Extract the main talking points from this clip: https://www.youtube.com/watch?v=dQw4w9WgXcQ

Development

npm install
npm test
npm run build

The test suite exercises URL forwarding, MIME handling, and configuration fallbacks.

License

MIT

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Gemini Vision

How do I install Gemini Vision?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Gemini Vision safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Gemini Vision still maintained?

The last commit was a year ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.