# DeepRecall - Product Safety Intelligence (remote · mcp.deeprecall.io) Search 120,000+ recalled products from 8 global safety agencies using AI similarity. - Trust score: 64/100 (medium) - Change this week: +50 - Registry status: active - Liveness: live - Owner verified: no - Last scored: 2026-08-03 ## Components - remote · `mcp.deeprecall.io`: 64/100 (this document), [markdown](https://verifymcp.io/servers/adrida-deeprecall-mcp/mcp.md), [page](https://verifymcp.io/servers/adrida-deeprecall-mcp/mcp) ## Channel facts - Endpoint: `https://mcp.deeprecall.io/mcp` - Transports: `streamable-http` - Auth: `required` - Version: `1.0.0` ## Trust breakdown How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog) Scored 2026-08-03. - **Endpoint Security**: 57/100 - The endpoint's TLS certificate is valid, in date, and uses a strong key. - Authorisation not fully verified: no authorisation is required to call this server, and 2 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. - HTTPS is enforced; there's no plaintext access path. - HSTS check failed: the Strict-Transport-Security header is absent. - DNSSEC check failed: this domain isn't protected by DNSSEC. - **Transport & Reachability**: 100/100 - Verified streamable-http transport via a live MCP handshake. - **Schema Quality & AI Usability**: 76/100 - 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name). - AI-judged instruction clarity (good). - Context-footprint check failed: tool/resource definitions use about 556 tokens (~185/item across 3 items; 2 tools + 1 resources), over budget; trim descriptions and params. - Usage-examples check failed: none of the tools include examples. - **Stability & Change Management**: 27/100 - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses. - **Tool Coverage**: 67/100 - 100% of tools have a non-trivial description (not blank, and not just the tool's name). - 0% of tool parameters carry a description. - **Capabilities**: 100/100 - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28. ## Install ### Claude ```bash claude mcp add --transport http adrida-deeprecall-mcp https://mcp.deeprecall.io/mcp ``` ### Codex ```toml [mcp_servers.adrida-deeprecall-mcp] url = "https://mcp.deeprecall.io/mcp" ``` ### opencode ```json { "$schema": "https://opencode.ai/config.json", "mcp": { "adrida-deeprecall-mcp": { "type": "remote", "url": "https://mcp.deeprecall.io/mcp", "enabled": true } } } ``` ### OpenClaw ```bash openclaw mcp add adrida-deeprecall-mcp --url https://mcp.deeprecall.io/mcp --transport streamable-http ``` ### Hermes ```yaml mcp_servers: adrida-deeprecall-mcp: url: "https://mcp.deeprecall.io/mcp" ``` ### Other ```json { "mcpServers": { "adrida-deeprecall-mcp": { "type": "http", "url": "https://mcp.deeprecall.io/mcp" } } } ``` The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs. ## Changelog Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims. ### 2026-08-03 (score 64, +1) No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes. ### 2026-08-01 (score 63, +40) - [security improvement] Transport: fail → pass - [security] Authorization: Authorisation not fully verified: no authorisation is required to call this server, and 2 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. - [functional improvement] Endpoint reachability: not serving MCP → reachable - [functional improvement] Schema quality: 271 → 185 - [functional improvement] Stability: unverified → 0.20 - [functional improvement] Tool coverage: unverified → 100 - [functional improvement] Schema quality: unverified → 100 - [functional improvement] MCP protocol: unverified → pass - [functional] New resource “get_info” ### 2026-07-31 (score 23, +9) - [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server ### 2026-07-28 (score 14, 0) - [security regression] Endpoint reachability: reachable → not serving MCP ### 2026-07-27 (score 14, −40) - [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server ### 2026-07-26 (score 54) First indexed and scored. ## MCP tools (2) ### `search_recalls` (~457 tokens) 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 ) Input parameters: - `api_key` - `content_description` - `filter_by_data_sources` - `image_urls` - `input_weights` (array) - `model_name` (string) - `top_k` (integer) ### `get_data_sources` (~60 tokens) 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 ## Diagnostics Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/adrida-deeprecall-mcp/mcp#diagnostics ## Score history - 2026-08-03: 64 - 2026-08-02: 63 - 2026-08-01: 63 - 2026-07-31: 23 - 2026-07-30: 14 - 2026-07-29: 14 - 2026-07-28: 14 - 2026-07-27: 14 - 2026-07-26: 54 ## Links - Remote endpoint: https://mcp.deeprecall.io/mcp - Authorisation metadata: https://mcp.deeprecall.io/.well-known/oauth-protected-resource/mcp - Repository: https://github.com/adrida/deeprecall-mcp - Changelog RSS feed: https://verifymcp.io/servers/adrida-deeprecall-mcp/mcp/changelog.xml - Changelog JSON feed: https://verifymcp.io/servers/adrida-deeprecall-mcp/mcp/changelog.json - HTML version of this page: https://verifymcp.io/servers/adrida-deeprecall-mcp/mcp