Meet Fudge: a design reference engine for AI agents. Instead of asking AI to make another “modern, premium” interface from scratch, let it search nearly 10,000 real websites by fonts, colors, components, layouts, page types, and visual similarity. Fudge combines measured design evidence with screenshots, runs locally through MCP, and remembers references you save with its Chrome extension. Give your coding agent better taste and not more adjectives.
Tried it through Claude today and the visual similarity search is genuinely useful, found a couple of layouts I would have spent an hour hunting for on Dribbble. The Chrome extension saving references locally is a nice touch too.
honestly love the idea of giving agents actual references instead of vibes, that part is really smart. one thing though, it would be super helpful if you could filter by industry or specific site categories, like only e-commerce or only SaaS landing pages, so the results are way more targeted when you're working on a particular project.
Congrats on the launch. An MCP server that makes an agent reference real design tokens instead of inventing hex codes is sharp — "actual design, not a hunch" pretty much sums up why it matters.
You launched without a demo video, so here's one built from your own product: https://www.youtube.com/watch?v=GrJ2APcVYFo — white-label, no watermark, yours to post anywhere. No catch.
Made with FoxPlug — turns any URL into a launch video in about 30 seconds: https://foxplug.com
About Fudge MCP on Product Hunt
“Give your AI agents design taste from existing websites”
Fudge MCP launched on Product Hunt on July 13th, 2026 and earned 119 upvotes and 3 comments, placing #11 on the daily leaderboard. Meet Fudge: a design reference engine for AI agents. Instead of asking AI to make another “modern, premium” interface from scratch, let it search nearly 10,000 real websites by fonts, colors, components, layouts, page types, and visual similarity. Fudge combines measured design evidence with screenshots, runs locally through MCP, and remembers references you save with its Chrome extension. Give your coding agent better taste and not more adjectives.
Fudge MCP was featured in Design Tools (261.2k followers), Artificial Intelligence (473.3k followers) and Design resources (2.1k followers) on Product Hunt. Together, these topics include over 147.1k products, making this a competitive space to launch in.
Who hunted Fudge MCP?
Fudge MCP was hunted by Simdi Jinkins. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Fudge MCP stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Simdi Jinkins
Tried it through Claude today and the visual similarity search is genuinely useful, found a couple of layouts I would have spent an hour hunting for on Dribbble. The Chrome extension saving references locally is a nice touch too.