DeepRecall - Product Safety Intelligence MCP Server

by adrida Your server? Claim it

answering

DeepRecall - Product Safety Intelligence is answering right now. Last checked 8 min ago. It exposes 2 tools. Last commit 27 Jan 2026.

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

Uptime history 51 days of history · worst day 0%

51 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

407 ms

Response time

average over 24h

Stars

last commit 27 Jan 2026

What changed 45

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 9 August 2026. No other catalogue keeps this.

22 Sep the owner changed

21 Sep the owner changed

20 Sep the owner changed

19 Sep the owner changed

18 Sep the owner changed

17 Sep the owner changed

16 Sep the owner changed

15 Sep the owner changed

14 Sep the owner changed

13 Sep the owner changed

and 35 more, back to 9 August 2026

Nothing serious here today

Today is the operative word: we check DeepRecall - Product Safety Intelligence every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 8 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add deeprecall-mcp --transport http https://mcp.deeprecall.io/mcp

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "deeprecall-mcp": {
      "url": "https://mcp.deeprecall.io/mcp"
    }
  }
}

~/.codex/config.toml

[mcp_servers.deeprecall-mcp]
url = "https://mcp.deeprecall.io/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "deeprecall-mcp": {
      "url": "https://mcp.deeprecall.io/mcp"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "deeprecall-mcp": {
      "url": "https://mcp.deeprecall.io/mcp"
    }
  }
}

Available tools 2

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

data

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

recalls

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 )

Endpoints

URL	Transport	State	Latency	Checked
https://mcp.deeprecall.io/mcp	streamable-http	answering	358 ms	8 min ago

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DeepRecall - Product Safety Intelligence — questions

Answers built from our own checks of this server.

What can DeepRecall - Product Safety Intelligence do?

It exposes 2 tools, read directly from the server on our last check. Among them: get_data_sources, search_recalls. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is DeepRecall - Product Safety Intelligence working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 407 ms. The bar chart above shows every period we have measured.

How do I connect DeepRecall - Product Safety Intelligence?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does DeepRecall - Product Safety Intelligence need an API key?

No. DeepRecall - Product Safety Intelligence completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 2 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is DeepRecall - Product Safety Intelligence?

It answers our handshake in 407 ms on average, which is faster than 39% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is DeepRecall - Product Safety Intelligence open source?

Yes — it is published under the Apache-2.0 licence, written in Python and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.