Server Details
Search 120,000+ recalled products from 8 global safety agencies using AI similarity.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- adrida/deeprecall-mcp
- GitHub Stars
- 0
Available Tools
2 toolsget_data_sourcesTry in Inspector
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
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
search_recallsTry in Inspector
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:
- safety_gate: EU Safety Gate (Europe)
- us_cpsc: US Consumer Product Safety Commission
- canada_recalls: Health Canada Recalls
- oecd: OECD GlobalRecalls portal
- accc_recalls: Australian Competition and Consumer Commission
- rappel_conso: French Consumer Recalls
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
)
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| top_k | No | ||
| api_key | No | ||
| image_urls | No | ||
| model_name | No | fuse_max | |
| input_weights | No | ||
| content_description | No | ||
| filter_by_data_sources | No |
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}
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