mcpbeat Sign in

DeepRecall - Product Safety Intelligence MCP Server

by adrida Your server? Claim it
answering

DeepRecall - Product Safety Intelligence is answering right now. Last checked 10 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 91 days of history · worst day 0%
91 days agonow
100.0%
Uptime 24h
91 of 91 checks
2
Tools
read from the server
299 ms
Response time
average over 24h
0
Stars
last commit 27 Jan 2026

What changed 1

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

9 Aug the owner changed

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.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 10 min ago.

run in your terminal
claude mcp add deeprecall-mcp --transport http https://mcp.deeprecall.io/mcp
Settings → Connectors → Add custom connector, then paste this address
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
{
  "servers": {
    "deeprecall-mcp": {
      "type": "http",
      "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

URLTransportStateLatencyChecked
https://mcp.deeprecall.io/mcp streamable-http answering 691 ms 10 min ago

Alternatives to DeepRecall - Product Safety Intelligence

same job, measured the same way
Deepnets — Solana Token Intelligence
by scifantastic

Solana token intelligence for trading agents: safety, holder graphs, funding networks, research.

74 installs/wk local only
Revelica
by revelica

Product intelligence for AI agents — query a Revelica workspace's ideas, specs, and research.

answering
Calven
by calven

Connect AI agents to shared product marketing intelligence in Calven.

answering
4q Tokenz
by steveweltman

Intelligent MCP proxy that reduces token usage by exposing only mcp_search and mcp_call.

84 installs/wk local only
Amazon Products
by jbeshir

Search for products and get detailed product information from Amazon across multiple regional sites.

local only
GWIX
by gwix

Global market intelligence from premier data partners and government agencies, with citations.

answering
Shodan Search MCP
by nexlab

Defensive Shodan search and host intelligence MCP using customer-provided SHODAN_API_KEY for

answering
UK Data: UK product safety
by co-reliness

UK product safety alerts and recalls from the Office for Product Safety and Standards

1 tools answering

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 299 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 in the form 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 299 ms on average, which is faster than 46% 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?
The code is open source: it is published under the Apache-2.0 licence, written in Python and 0 stars on GitHub. The licence covers the code in the repository, not the hosted service at mcp.deeprecall.io, which runs on its operator's own terms.