MCP Image Search
Pricing
Pay per usage
MCP Image Search
Pricing
Pay per usage
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Developer
Donny Nguyen
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1
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a day ago
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An MCP-compatible server for searching images on the web and returning structured results. Built for AI agents and automation workflows, this actor searches Bing Images and extracts image URLs, dimensions, source pages, and alt text for each result.
Features
- Structured Image Results - Returns clean JSON with image URL, thumbnail, source page, dimensions, and title
- Bing Image Search - Leverages Bing's image search engine for reliable, comprehensive results
- Configurable Count - Control exactly how many images to retrieve per query
- MCP Compatible - Designed as a tool for AI agent frameworks using the Model Context Protocol
- Metadata Extraction - Extracts width, height, source domain, and image titles from search results
- Fallback Safety - Always returns at least one result item even if search results are blocked
How It Works
The actor uses Crawlee CheerioCrawler to fetch Bing image search results for the given query. It parses the HTML response to extract image metadata from Bing's inline JSON data attributes, including full-resolution image URLs, thumbnail URLs, source page links, and image dimensions. Results are stored as structured JSON in the Apify dataset.
Input Configuration
| Parameter | Type | Default | Description |
|---|---|---|---|
query | String | "golden gate bridge sunset" | The image search query |
maxImages | Integer | 10 | Maximum number of images to return |
Output Format
Each result in the dataset contains: position (ranking), title (image alt text), imageUrl (full resolution URL), thumbnailUrl, sourceUrl (page containing the image), sourceDomain, width, height, query, and scrapedAt (timestamp).
Use Cases
- AI Agent Vision - Provide AI agents with the ability to find and reference images from the web
- Content Creation - Find relevant images for articles, presentations, and social media posts
- Research - Search for visual references across a wide range of topics
- Image Monitoring - Track visual content across the web via scheduled runs using the Apify API
API Integration
Integrate this actor into your AI agent pipeline using the Apify API or any MCP-compatible framework. Results are delivered as structured JSON, making it easy to consume image URLs and metadata in downstream processing steps.
