DeepRecall

소개

DeepRecall is an MCP-compatible server that offers product safety intelligence for AI agents by leveraging the Model Context Protocol. It enables agents to search over 120,000 recalled products from major international regulatory agencies like CPSC, FDA, EU Safety Gate, and Health Canada. The service supports both text-based and image-based queries, allowing AI agents to quickly identify potential safety concerns before making recommendations or decisions in agentic commerce workflows.

주요 기능

• 0 GitHub stars
• Access data from 8 international product safety regulatory agencies
• Integrates seamlessly with MCP-compatible clients like Cursor and Claude Desktop
• Designed for Universal Commerce Protocol (UCP) integration to provide a product safety layer for agentic commerce
• Supports self-hosting via Python or Docker, alongside a recommended hosted server
• Search over 120,000 recalled products by text and/or image URLs

사용 사례

• Integrating product safety checks into AI agent workflows for commerce or recommendations
• Assisting AI agents in making informed purchasing decisions by screening for safety hazards
• Identifying recalled products based on natural language descriptions or product images