Google Image Search MCP Server

What is Google Image Search MCP Server?

It is an MCP server that provides Google Image Search functionality via the SerpAPI. It allows AI assistants to search for images, download them to a local directory, and analyze search results to find the most relevant ones based on specific criteria.

How to use Google Image Search MCP Server?

Install with npm install, configure a .env file with your SerpAPI key (copy from .env.example), build with npm run build, and run with npm start. The server exposes three tools: search_images, download_image, and analyze_images.

Key features of Google Image Search MCP Server

• Search images using Google Image Search
• Download images to a local directory
• Analyze search results based on relevance criteria
• Configurable result limit (default 10)
• Easy integration with AI assistants via MCP

Use cases of Google Image Search MCP Server

• AI assistant searching for reference images based on a query
• Downloading specific images to disk for further processing
• Analyzing image search results to select the most professional or colorful images
• Automating image retrieval for content creation or research

FAQ from Google Image Search MCP Server

What API key is required?

You need a SerpAPI key, which you can obtain by signing up at serpapi.com. Create a .env file with SERP_API_KEY=your_key.

How do I limit the number of search results?

The search_images tool accepts an optional limit parameter; the default is 10 results.

Where are downloaded images saved?

The download_image tool requires an outputPath parameter specifying the local directory path. Images are saved to that directory.

What parameters does the search_images tool accept?

It accepts query (string, required) and limit (number, optional, default 10).

Can I analyze images based on custom criteria?

Yes, the analyze_images tool accepts a criteria string (e.g., 'professional', 'colorful') and an array of search results to rank.