DeepRecall - Product Safety Intelligence

io.github.adrida/deeprecall-mcpVersion 1.0.0

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

Status

Responds314 msNov 14, 2026, 14:44 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 14:44 UTC
Latency: 314 ms
Remotes responding: 1 of 1
Sign-in: API key
Hosting: Hosted outside the EU (detected)
Registry data as of: Nov 14, 2026, 21:12 UTC

Data from the official MCP Registry, checked by run.zero. How we check

Connect

Streamable HTTP

https://mcp.deeprecall.io/mcpResponds314 msNov 14, 2026, 14:44 UTC

No sign-in

Claude Code

claude mcp add --transport http deeprecall-mcp https://mcp.deeprecall.io/mcp --header 'X-API-Key: <YOUR_X_API_KEY>'

Replace <YOUR_X_API_KEY> before running.

Claude Desktop and claude.ai

Settings > Connectors > Add custom connector
Name: deeprecall-mcp
Remote MCP server URL: https://mcp.deeprecall.io/mcp
This server expects the header X-API-Key.

Cursor

{
  "mcpServers": {
    "deeprecall-mcp": {
      "url": "https://mcp.deeprecall.io/mcp",
      "headers": {
        "X-API-Key": "<YOUR_X_API_KEY>"
      }
    }
  }
}

Replace <YOUR_X_API_KEY> before running.

VS Code

code --add-mcp '{"name":"deeprecall-mcp","type":"http","url":"https://mcp.deeprecall.io/mcp","headers":{"X-API-Key":"<YOUR_X_API_KEY>"}}'

Replace <YOUR_X_API_KEY> before running.

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Tools

2 tools

Tools of DeepRecall - Product Safety Intelligence
	Description		Read-only	Idempotent	Open world
`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	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	Not declared	Not declared	Not declared	Not declared
`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 )	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 )	Not declared	Not declared	Not declared	Not declared

Details

Registry status: Active
Published: Jan 27, 2026
Updated: Jan 27, 2026
Website: Not given
Repository: https://github.com/adrida/deeprecall-mcp⁠ (opens in a new tab)
Categories: Uncategorized
GDPR: Not declared

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