EDITED Launches MCP: Retail Superintelligence, Natively Inside the AI Tools Teams Already Use
EDITED, the leading retail intelligence platform, today announced the launch of EDITED MCP, bringing the world's deepest retail dataset directly into the AI workspaces developers and technical teams are already building in. Powered by the Model Context Protocol, an open standard created by Anthropic, EDITED MCP lets technical teams connect the world's largest aggregation of global retail data into Claude Code, Claude Desktop, and custom-built AI agents, without exporting a file or switching tabs.
Retail teams have spent the past two years experimenting with general-purpose AI tools, but those tools run into the same problem every time: they're only as good as the data behind them. Ask LLM’s such as ChatGPT or Claude a question about a competitor's pricing strategy today, and it has no way to verify the market context. EDITED MCP closes that gap, giving builders a direct, secure connection to 90,000 brands and 5bn+ SKUs across all three verticals (Home, Beauty, and Apparel) from the moment you connect.
At launch, EDITED MCP is a focused, lightweight data layer built for technical teams already building their own agents. An internal tool trying to answer something like "why did my dresses business miss its sales plan last week?" can now pull real-time market context back in seconds, a verified data point mid-build, rather than stopping to search or guess. It's the newest addition to EDITED's AI-powered offering, sitting alongside AskEDITED, the conversational workspace powered by Edie, EDITED's specialist retail agent. Two different products - EDITED MCP and AskEDITED - same underlying speed and depth, built for how each team actually wants to work.
