Over the past few months, Iโve been building DiscountHub, a platform focused on helping people find real discounts, promotions, and promo codes without digging through endless product listings.
For the WebMCP Challenge, we took DiscountHub a step further and added WebMCP support, allowing AI agents to interact with the website and discover:
๐ Real discounts
๐๏ธ Promo codes
๐ช Stores and active offers
๐ค Relevant deals directly through AI-assisted workflows
And after a lot of development, testing, recording, fixing things, and recording againโฆ
๐ฌ The DiscountHub WebMCP demo video is finally finished!
Watch the demo here:
๐ https://www.youtube.com/watch?v=r7ksxBdX0fc
In the demo, you can see an AI agent interacting with DiscountHub through WebMCP and using the websiteโs tools to search for relevant offers.
This hackathon also pushed me to do something I hadnโt planned originally: open part of DiscountHub publicly and show much more of how the project actually works.
The main product is live here:
๐ https://discounthub.uz
And the WebMCP implementation is public on GitHub:
๐ป https://github.com/MasterBek533551878/discounthub-website
It feels great to finally have the submission and demo ready.
Now we wait and see how DiscountHub performs in the challenge. ๐
Would love to hear feedback from other Indie Hackers โ especially anyone experimenting with WebMCP, AI agents, or agent-friendly websites.
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