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Deeprecall MCP
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Deeprecall MCP

The DeepRecall MCP server provides product safety intelligence services for AI agents through the model context protocol, and can search for over 120,000 product recall information from multiple global regulatory agencies.
Law and complianceSearch tools#Product Safety#Recall Search#AI Agent#Regulatory Compliance.Python
2 points
4.2K
Open Site

Overview

Installation

Content Details

Alternatives

What is DeepRecall MCP Server?

DeepRecall MCP Server is a model context protocol server specifically designed for AI agents, providing real-time query services for global product recalls and safety warnings. It connects to the databases of regulatory agencies in major markets such as the United States, the European Union, the United Kingdom, Canada, and Australia, enabling AI assistants to quickly check if a product has safety hazards or recall records.

How to use DeepRecall MCP Server?

You can use it in two ways: 1) Use the hosted server directly (recommended), just add the API key to the MCP client configuration; 2) Deploy the server by yourself. It supports both text description and image search methods, and AI assistants can call the product safety check function like using ordinary tools.

Applicable Scenarios

It is suitable for scenarios that require product safety verification, such as e-commerce shopping assistants, product recommendation systems, consumer consultation robots, and supply chain management tools. It is particularly suitable for integration into the UCP (Universal Commerce Protocol) workflow to automatically conduct safety checks before users make purchase decisions.

Main Features

Multi - source Recall Data
Integrate the recall databases of 8 major global regulatory agencies, including the US CPSC, FDA, EU Safety Gate, UK OPSS, Health Canada, etc., covering over 120,000 recalled product records.
Dual - mode Search
Support both text description search and image search methods. You can describe product features or directly upload product images for safety verification.
MCP Protocol Compatibility
Fully compatible with the Model Context Protocol standard, it can be seamlessly integrated with mainstream MCP clients such as Cursor, Claude Desktop, and Windsurf.
UCP Integration Support
Designed specifically for the Universal Commerce Protocol, it provides a product safety layer and can automatically conduct safety checks in the business process.
Flexible Deployment
Provide hosted services and self - deployment options, support Docker containerized deployment to meet different security and privacy requirements.
Advantages
Global data coverage: Integrate regulatory data from multiple countries and regions to provide comprehensive safety information.
Easy to integrate: Standard MCP protocol, can be integrated with existing AI assistants without complex configuration.
Real - time: Data is updated regularly to ensure the latest recall and safety warning information is obtained.
Multi - language support: Handle multi - language product descriptions and recall notifications.
Enterprise - level reliability: Support high - concurrent queries, suitable for use in production environments.
Limitations
Requires an API key: Currently in a closed - beta testing phase, you need to apply for API access rights.
Data latency: There may be a 1 - 2 day delay in data updates from some regulatory agencies.
Regional limitations: Recall data in some regions may be incomplete.
Image recognition accuracy: Image - based searches may be affected by image quality and angle.
Query limitations: The free test version has a monthly query limit.

How to Use

Get an API Key
Contact the DeepRecall team to apply for test access rights and get your exclusive API key. The key format is dr_live_xxxxxxxx or dr_test_xxxxxxxx.
Configure the MCP Client
Add the DeepRecall server configuration to the configuration file of your MCP client (such as Cursor, Claude Desktop, etc.).
Start Using
Restart your AI assistant client, and now you can query product safety information through natural language instructions.
Self - deployment Option (Optional)
If you need higher privacy control or customization requirements, you can download the source code and deploy the server by yourself.

Usage Examples

Baby Product Safety Check
Before buying a crib, parents let the AI assistant check if a specific model has a safety recall record.
Second - hand Product Verification
When buying a second - hand children's toy, verify its safety by uploading the product image.
Cross - border E - commerce Compliance
E - commerce sellers check if the products they plan to import meet the safety standards in the target market.
Supply Chain Risk Management
Manufacturers check the product safety records of raw material or component suppliers.

Frequently Asked Questions

Is DeepRecall MCP Server free?
Which MCP clients are supported?
How often is the data updated?
Can I self - host the data?
How to handle privacy and data security?
What is the search accuracy?
Which languages of product descriptions are supported?
How to apply for an API key?

Related Resources

Official Documentation
Complete API documentation, integration guides, and best practices
MCP Protocol Official Website
Understand the standards and specifications of the Model Context Protocol
GitHub Repository
Open - source MCP server code and examples
UCP Protocol
Understand the Universal Commerce Protocol and its integration with DeepRecall
Hosted MCP Endpoint
A directly usable hosted MCP server address
REST API
Direct REST API access endpoint (requires an API key)
MCP Registry
Discover other MCP servers and tools

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "deeprecall": {
      "url": "https://mcp.deeprecall.io/mcp",
      "headers": {
        "X-API-Key": "dr_live_your_api_key_here"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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