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DeepRecall - Product Safety Intelligence

io.github.adrida/deeprecall-mcp

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

Server Details

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL
Repository
adrida/deeprecall-mcp
GitHub Stars
0

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Available Tools

2 tools
get_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
NameRequiredDescriptionDefault

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
NameRequiredDescriptionDefault
top_kNo
api_keyNo
image_urlsNo
model_nameNofuse_max
input_weightsNo
content_descriptionNo
filter_by_data_sourcesNo