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Industry playground / Real estate

WebMCP real estate demo.

Filter fictional listings by city, price and bedrooms, then build a shortlist.

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Real estate playground

OPEN / HOUSE

Find a place worth a look.

Filter fictional listings by city, price and bedrooms, then build a shortlist.

3 resultsShared page state
Suburban two-storey house with a driveway.
18 Cedar Lane

Austin · 3 bedrooms · 1,820 sq ft

cedar
$585,000
House on a lakeshore reflected in the water.
204 Lake View

Austin · 4 bedrooms · 2,460 sq ft

lake
$745,000
Small cottage with a porch and a red chair.
7 Maple Court

Portland · 2 bedrooms · 1,430 sq ft

maple
$510,000

Your shortlist

Local only

Your shortlist is empty. Save a matching property.

Tool inspector5 tools

Filter the visible fictional property listings by city, maximum USD price and minimum bedrooms.

Last result
// Run a tool to inspect its result.

Run tool calls the local handler directly. Native agent calls appear as “Native WebMCP” in the trace.

Try a complete workflow

Find two-bedroom homes in Austin under $700,000, then shortlist the Cedar home.

Execution trace0 calls

Newest first. Example workflows are deterministic scripts, not LLM conversations.

No calls yet.

What this example teaches

Filter on property facts

The sample uses location, asking price and bedrooms. It does not use personal characteristics to rank buyers or determine housing eligibility.

Make repeated actions predictable

Shortlisting the same home twice returns the existing selection. This is useful when an agent retries an uncertain response.

Common questions

Are these real properties for sale?

No. Addresses, listing IDs and prices are synthetic demo data.

Does shortlisting contact an agent?

No. It changes a list on this page only. There is no lead form or external message.

API references reviewed September 7, 2026.Chrome imperative API