Artin0123-gemini-image-mcp-server
RemoteAbout Artin0123-gemini-image-mcp-server
Artin0123-gemini-image-mcp-server is a remote visual analysis server for MCP clients, using Gemini to process image URLs and YouTube videos. Images are limited to 16 MB each, while videos are streamed through the Gemini API.
Key features
- 01Analyze one or more image URLs
- 02Analyze YouTube videos
- 03Configure Gemini API key and model
- 0416 MB limit per image
Use cases
- 01Extract visual details from product images
- 02Summarize YouTube video content
MCP support
The MCP server provides image and YouTube video analysis tools to clients. This remote version handles URL content; local images and videos require the local version.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://server.smithery.ai/@Artin0123/gemini-image-mcp-server/mcpclaude mcp add --transport http ai-smithery-artin0123-gemini-image https://server.smithery.ai/@Artin0123/gemini-image-mcp-server/mcp{"mcpServers":{"ai-smithery-artin0123-gemini-image":{"type":"http","url":"https://server.smithery.ai/@Artin0123/gemini-image-mcp-server/mcp"}}}Open in Cursor{"servers":{"ai-smithery-artin0123-gemini-image":{"type":"http","url":"https://server.smithery.ai/@Artin0123/gemini-image-mcp-server/mcp"}}}Open in VS Code{"mcpServers":{"ai-smithery-artin0123-gemini-image":{"type":"http","url":"https://server.smithery.ai/@Artin0123/gemini-image-mcp-server/mcp"}}}{"mcpServers":{"ai-smithery-artin0123-gemini-image":{"serverUrl":"https://server.smithery.ai/@Artin0123/gemini-image-mcp-server/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
https://server.smithery.ai/@Artin0123/gemini-image-mcp-server/mcpAuth requiredTools
Details
From the project READMEimage-mcp-server-gemini
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_MODELenvironment variable, or ProvidingmodelNamein 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
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.