# DeepRecall - Product Safety Intelligence MCP server

Search 120,000+ recalled products from 8 global safety agencies using AI similarity.

## Links
- Registry page: https://www.getdrio.com/mcp/io-github-adrida-deeprecall-mcp
- Repository: https://github.com/adrida/deeprecall-mcp

## Install
- Endpoint: https://mcp.deeprecall.io/mcp
- Auth: Auth required by registry metadata

## Setup notes
- Remote header: X-API-Key (required; secret)
- The upstream registry signals required auth or secrets.
- Remote endpoint: https://mcp.deeprecall.io/mcp
- Header: X-API-Key

## Tools
- search_recalls - 
    Search for recalled products similar to your query.
    
    This tool searches DeepRecall's global product safety database using AI-powered
    multimodal matching. Provide a text description and/or product images to find
    similar recalled products.
    
    Use Cases:
    - Pre-purchase safety checks: Before buying, verify if similar products were recalled
    - Supplier vetting: Check if a supplier's products have safety issues
    - Marketplace compliance: Verify products against recall databases
    - Consumer protection: Identify potentially hazardous products
    
    Data Sources:
    - us_cpsc: US Consumer Product Safety Commission
    - us_fda: US Food and Drug Administration
    - safety_gate: EU Safety Gate (Europe)
    - uk_opss: UK Office for Product Safety & Standards
    - canada_recalls: Health Canada Recalls
    - oecd: OECD GlobalRecalls portal
    - rappel_conso: French Consumer Recalls
    - accc_recalls: Australian Competition and Consumer Commission
    
    Cost: 1 API credit per search
    
    Args:
        content_description: Text description of the product (e.g., "children's toy with small parts")
        image_urls: List of product image URLs for visual matching (1-10 images)
        filter_by_data_sources: Limit search to specific agencies (optional)
        top_k: Number of results (1-100, default: 10)
        model_name: Fusion model - fuse_max (recommended), fuse_flex, or fuse
        input_weights: Weights for [text, images], must sum to 1.0
        api_key: Your DeepRecall API key (optional if provided via X-API-Key header)
    
    Returns:
        Search results with matched recalls, scores, and product details
    
    Example:
        search_recalls(
            content_description="baby crib with drop-side rails",
            top_k=5
        )
     Endpoint: https://mcp.deeprecall.io/mcp
- get_data_sources - 
    Get information about available recall data sources.
    
    Returns a list of all supported regulatory agencies and their coverage.
    This is a free call that does not consume API credits.
    
    Returns:
        Dictionary with data sources and their descriptions
     Endpoint: https://mcp.deeprecall.io/mcp

## Resources
- deeprecall://info - Get information about the DeepRecall MCP server MIME type: text/plain

## Prompts
Not captured

## Metadata
- Owner: io.github.adrida
- Version: 1.0.0
- Runtime: Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: Jan 27, 2026
- Source: https://registry.modelcontextprotocol.io