MatchRV

Inspiration

What it does

MatchRV is an AI-native RV marketplace built to make complex RV shopping simple, trustworthy, and actionable.

Most RV shoppers do not search in clean filters. They ask things like: “I need a bunkhouse under 30 feet, less than 7,000 lbs, with two entry doors, a private bedroom, under my budget, and close to Tacoma.” Traditional marketplaces struggle with requests like that because the information is scattered across inconsistent dealer listings.

MatchRV uses WebMCP to turn those messy real-world shopping requests into structured requirements and match them against normalized RV inventory.

Our challenge entry focuses on three things:

Search: MatchRV converts multi-condition natural-language requests into precise structured matching across RV inventory.

Trust: Every result explains why it matched, which requirements were verified, what information is still unknown, and how fresh the inventory data appears.

Action: Once the shopper finds the right RV, the agent can prepare dealer contact and show the user exactly what will happen before requiring explicit human approval.

This demonstrates how WebMCP can transform an ordinary dealer inventory website into something an AI agent can understand and act on safely.

Our larger vision is to make RV inventory AI-readable across the industry, allowing shoppers to find the right RV through ChatGPT and other AI agents instead of manually searching hundreds of listings.

How we built it

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for MatchRV

Built With

• claude
• css
• github
• html
• javascript
• react
• render
• rest-apis
• supabase
• typescript
• webmcp