# DeepRecall - Product Safety Intelligence

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

- name: io.github.adrida/deeprecall-mcp
- version: 1.0.0
- connection class: R1 (autonomous)
- trust: 82/100
- quality: 76/100 (good)
- owner: not claimed
- descriptor: https://api.protogrid.dev/v1/servers/io.github.adrida%2Fdeeprecall-mcp
- tools: https://api.protogrid.dev/v1/servers/io.github.adrida%2Fdeeprecall-mcp/tools

**An agent can connect on its own if it already holds `X_API_KEY`, `X_API_KEY`.** Remote endpoint behind a static API key or header. The registry never sees the value; the agent fills the placeholder.

## Connection (mcpServers)

```json
{
  "mcpServers": {
    "deeprecall-mcp": {
      "type": "http",
      "url": "https://mcp.deeprecall.io/mcp",
      "headers": {
        "X-API-Key": "${X_API_KEY}",
        "Authorization": "${X_API_KEY}"
      }
    }
  }
}
```

Placeholders to fill: `${X_API_KEY}`, `${X_API_KEY}`.

## Trust

- hygiene: 100
- liveness: 98
- freshness: 45
- provenance: 80
- drivers: +repository +namespace-matches-repo +reachable +uptime-96% -stale-266d
- Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed.

## Quality 76/100 (good)

### protocol: 75 (weight 25)

- warn `protocol.modern`: newest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
- n/a `protocol.stateless`: only applies to 2026-07-28 servers
- pass `protocol.transport`: streamable HTTP
- n/a `protocol.list_ttl`: only applies to 2026-07-28 servers

### authorization: n/a (weight 15)

- n/a `auth.prm`, `auth.as_metadata`, `auth.cimd`: no remote uses OAuth
- n/a `auth.secret_in_url`: no templated URL

### tool hygiene: 64 (weight 30)

- pass `tools.descriptions`: every tool has a description
- warn `tools.description_length`: 1 tools have descriptions over 1,024 characters, which crowds the context
- pass `tools.schemas`: every tool has an object input schema
- fail `tools.annotations`: no tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
- fail `tools.directory_hints`: no tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: get_data_sources (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); search_recalls (readOnlyHint, destructiveHint, idempotentHint, openWorldHint)
- pass `tools.token_cost`: about 745 tokens to load every tool
- pass `tools.api_dump`: tools are not a one-to-one API dump

### stability: 100 (weight 15)

- pass `stability.changes`: no tool changes in 30 days
- pass `stability.rug_pull`: no tool changed its meaning under the same name

### dependencies: n/a (weight 15)

- n/a `deps.known_vulns`, `deps.mcp_sdk_version`, `deps.resolvable`: no npm or PyPI package

- tools: 2, about 745 tokens to load them all
- tool set hash: 1e83a6a1f2a16346319fe34d6771c1c4
- badge: [![protogrid quality](https://protogrid.dev/badge/io.github.adrida/deeprecall-mcp.svg)](https://protogrid.dev/servers/io.github.adrida/deeprecall-mcp)
- Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed.

### Tool changes

_No tool definition changes recorded._

## Remotes

- https://mcp.deeprecall.io/mcp (streamable-http, auth api_key ${X_API_KEY}, reachable true, uptime30d 0.96190476)

## Packages

_none_

## Tools (2)

- `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
    
- `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
        )