DeepRecall - Product Safety Intelligence

adrida/deeprecall-mcp

This server connects Claude to a global product safety database covering 120,000+ recalls from eight regulatory agencies including the CPSC, FDA, EU Safety Gate, and Health Canada. It exposes a search_recalls tool that accepts text descriptions or image URLs and returns matching product recalls using AI similarity search. You can filter by specific agencies and adjust result counts up to 100. It's designed for agentic commerce workflows where you need to verify product safety before purchase decisions. Runs as a hosted service at mcp.deeprecall.io (requires API key, currently in closed beta) or self-hosted via Python. Also includes a get_data_sources tool to list available regulatory agencies without authentication.

tools: 2
auth: Secret needed
transport: HTTP
last updated: Jan 27, 2026

View on GitHub

Install

From registry metadata

$ npx add-mcp https://mcp.deeprecall.io/mcp --name deeprecall-mcp --header 'X-API-Key: ${X_API_KEY}'

Run in your terminal. add-mcp asks which agents to add it to, then asks for each value it needs. Add -g to install it for every project.

Review the command, arguments and environment values before installing. MCP servers run with your local permissions.

Other ways

Claude Code

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

Run in your terminal. Add --scope user to make it available in every project.

Tools

Verified live · 2 tools

Verified live against the running server on Nov 6, 2026.

search_recallsSearch 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:...7 params

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:...

Parameters* required

api_keyvalue

content_descriptionvalue

filter_by_data_sourcesvalue

image_urlsvalue

input_weightsarray

model_namestring

default: fuse_max

top_kinteger

default: 10

get_data_sourcesGet 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

No parameters. Call it with no arguments.

Readme

DeepRecall MCP Server

Product Safety Intelligence for AI Agents via the Model Context Protocol.

Search 120,000+ recalled products from CPSC, FDA, EU Safety Gate, UK OPSS, Health Canada, OECD, RappelConso, and ACCC.

Quick Start

Use Hosted Server (Recommended)

Add to your MCP client config:

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

Works with: Cursor, Claude Desktop, Windsurf, and any MCP-compatible client.

Requires API key - Replace dr_live_your_api_key_here with your key. See API Access below.

Self-Host

git clone https://github.com/adrida/deeprecall-mcp
cd deeprecall-mcp
pip install -r requirements.txt
DEEPRECALL_API_KEY=your_key python server.py --http

Tools

`search_recalls`

Search for recalled products by text and/or images.

View the full README on GitHub

Details

Repository: github.com/adrida/deeprecall-mcp
Category: Search & Web Crawling
Transport: HTTP
Auth: Required
Registry: MCP registry, active
Resources: 1
Tools verified: Nov 6, 2026

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