DW–001 / Offers MCP / Live — v0

Every offer.
One call.

Offers MCP provides structured research for your agents, applications, and humans. Point it at a product identifier, and let it scan many merchants to deliver live prices, true cost, delivery options, and trust insights. Robust, private, efficient results for agents, applications, and humans to make informed purchase decisions.

Try it in 2 minutes GitHub ↗

Free. No signup. No API key. Early v0 — we want your feedback.

How it works

Shop thousands of
stores in seconds.

The deal exists — finding it is the tedious part. Offers MCP does the cross-merchant research and hands your application structured data to build on.

01 / Robust

Built to be trusted

Live prices across merchants, shipping folded into a true landed cost, scam-priced listings filtered out, every merchant rated on a curated trust tier. Every claim carries a confidence score and a timestamp — and when it isn't sure, it says so instead of guessing.

02 / Private

Nobody watches you shop

No accounts, no profiles, no raw IPs stored. The comparison happens on our servers — a merchant learns about you only when you click through to buy. Your searches are never sold or shared, and never used for advertising.

03 / Efficient

Deep research fast

Free text ("Sony WH-1000XM6 black") or a barcode number in — one call fans out to every source in parallel and returns one structured answer: the best trusted deal, plus the full option list. Repeat lookups come back instantly.

Under the hood

Quality Data.

The short version of how we deliver real-time results — so you, or your AI agent, can make the best decision with all the options in view.

Partner relationships and structured data. We work through official merchant and catalog partner programs, structured data sources, and creative insights — to stay accurate, efficient, and private.
Parallel retrieval, one schema. A single input fans out to many sources at once; everything comes back normalized in a structured contract you can build against.
Provenance on every offer. Each result names its source and the moment it was checked. Where sources disagree or fall short, the offers mcp shares insight.
Where it fits: cross-vendor price checks from the store aisle, or millions of programmatic lookups inside your application — same tool call, same answers.

Quickstart

Try it now.

One command connects it to Claude. Or hit the plain HTTP endpoint and see the raw answer — no account, no key.

Claude Code

claude mcp add --transport http offers https://offers-engine.dexter-works.com/mcp

Then just ask

"Am I getting a good deal on the Sony WH-1000XM6 at $398? I'm in 83702."

Or plain HTTP

curl "https://offers-engine.dexter-works.com/api/search_offers?q=Sony+WH-1000XM6+black&zip=83702"

ChatGPT, Claude Desktop, Cursor, VS Code, Windsurf — step-by-step setup in the README ↗. Cold queries take 5–15 seconds; repeats are instant.

Early access

Test it. Break it.
Tell us.

This is v0 — US consumer goods, a small set of sources done carefully. Real queries from real shoppers are exactly what makes it better.

Report a result ↗ hello@dexter-works.com

Got a wrong price, a bad match, or a store we should trust (or shouldn't)? Send the exact query — that's the gold.

Every offer.One call.

Shop thousands ofstores in seconds.