MCP server for structured product search + merchant catalogs for AI agents (looking for feedback)

Hello,

I’m sharing a tool we’ve been building and would really appreciate feedback from others working on agent infrastructure or commerce-related workflows.

We built an MCP server that provides structured product search for AI agents, with the added ability for merchants to publish and expose product catalogs for agent-based discovery.

What it does:

• Structured product search across multiple merchants

• Returns normalized data (price, availability, merchant info)

• Supports merchant catalog ingestion so sellers can expose products directly to AI agents

• Designed for MCP-based agent workflows

• Free tier available (100 calls/day for early access)

Why we built it: We found that general web search isn’t reliable enough for commerce use cases in agents, especially when structured comparison and real-time product data are needed. At the same time, merchants currently don’t have a clean way to expose catalogs directly to AI-driven discovery systems.

What we’re exploring:

• Whether MCP is the right abstraction layer for commerce/product data

• How merchants should best structure catalogs for agent consumption

• Where agent-based product discovery breaks today

• What “good” UX looks like when agents interact with real merchant inventory

Would love feedback from anyone building:

• Shopping / commerce agents

• Retrieval or tool-use infrastructure

• Merchant-facing AI integrations

Happy to answer any questions or share a demo if helpful. Thank you!