About Google Image Search MCP Server
Google Image Search MCP Server is an MCP service that provides Google Image Search through SerpAPI, letting AI assistants search images and rank results by criteria. It is a Node.js project configured with a SerpAPI key.
Key features
- 01Google Image Search through SerpAPI
- 02Download images to a local directory
- 03Analyze results against selection criteria
Use cases
- 01Searching for images matching a visual style
- 02Downloading image assets to a local folder
- 03Filtering images by criteria such as professional or colorful
MCP support
This project is an MCP server that exposes the search_images, download_image and analyze_images tools to MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEGoogle Image Search MCP Server
This MCP (Model Context Protocol) server provides Google Image Search functionality through the SerpAPI. It allows AI assistants to search for images and analyze the results to find the most relevant ones based on specific criteria.
Features
- Search for images with Google Image Search
- Download images to a local directory
- Analyze search results based on relevance criteria
Installation
npm install
Configuration
Create a .env file with your SerpAPI key (you can copy from .env.example):
SERP_API_KEY=your_serp_api_key_here
You can get a SerpAPI key by signing up at serpapi.com.
Usage
Building
npm run build
Running
npm start
Development
npm run dev
Available Tools
search_images
Search for images using Google Image Search.
Parameters:
query(string): The search query for finding imageslimit(number, optional): Maximum number of results to return (default: 10)
download_image
Download an image to a local directory.
Parameters:
imageUrl(string): URL of the image to downloadoutputPath(string): Directory path where the image should be savedfilename(string): Filename for the downloaded image (including extension)
analyze_images
Analyze image search results to find the most relevant ones.
Parameters:
searchResults(array): Array of image search results to analyzecriteria(string): Criteria for selecting the best images (e.g., 'professional', 'colorful', etc.)
License
ISC
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.