DeepRecall - Product Safety Intelligence
Search 120,000+ recalled products from 8 global safety agencies using AI similarity.
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Calidad y seguridad
Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.
Costo de contexto
Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.
Instalar
Instalación con un clic
Agrega esto a tu archivo `claude_desktop_config.json`:
{
"mcpServers": {
"deeprecall-mcp": {
"url": "https://mcp.deeprecall.io/mcp"
}
}
}Puntos de conexión remotos
https://mcp.deeprecall.io/mcpstreamable-httpQué puede hacer
Inventario de herramientas
Herramientas (2)
🔴search_recalls(content_description, image_urls, filter_by_data_sources, top_k, model_name, ...)
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 )
Esquema de entrada
{
"type": "object",
"properties": {
"content_description": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Content Description"
},
"image_urls": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Image Urls"
},
"filter_by_data_sources": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Filter By Data Sources"
},
"top_k": {
"default": 10,
"title": "Top K",
"type": "integer"
},
"model_name": {
"default": "fuse_max",
"title": "Model Name",
"type": "string"
},
"input_weights": {
"default": [
0.5,
0.5
],
"items": {
"type": "number"
},
"title": "Input Weights",
"type": "array"
},
"api_key": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Api Key"
}
},
"title": "search_recallsArguments"
}🟢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
Esquema de entrada
{
"type": "object",
"properties": {},
"title": "get_data_sourcesArguments"
}Comunidad
Evidencia