Working software. Try it.
The Lab is where our agentic commerce tooling runs in the open: agents searching a Magento catalog in natural language, gated write operations with audit trails, and operational intelligence for running stores. No slideware — exhibits below.
3 exhibits · built on MageMCP & open-source tooling · github.com/magendooro
Ask a store for products. In plain language.
Agentic Search translates natural language into Magento 2 GraphQL against a live store — it discovers the store's own attributes, option values and category tree, then resolves the query against them. Zero install on the store side.
1 — Intent resolved against the store's discovered schema
2 — Generated GraphQL
3 — Live results from the demo catalog
Replays of real middleware sessions against a demo catalog. Store data is illustrative. → How Agentic Search works
An agent operating a store — with the safety on.
MageMCP gives AI agents 60 typed tools over Magento 2 / Adobe Commerce. Reads are free; writes stop at a confirmation gate and every invocation lands in an audit log. The replay below shows a representative session — real tool names, real gating, real audit format.
Tool names and confirmation semantics (confirm=true on second call) match the shipped server.
60 typed tools · 895 automated tests · MIT.
→ Source
· All MCP servers
Agents that watch the store, not just the shopper.
Plain-language analytics against live Magento data.
Signal detection across catalog, search, checkout and fulfillment.
Sample alert feed — illustrative data. → About StoreSignals
Every exhibit is inspectable.
This is what the assessment designs for your store.
The exhibits run on our demo store. The Agentic Engineering Assessment maps what the same discipline — typed tools, gated writes, measured outcomes — looks like inside your codebase and your controls.