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OniPin
OniPin A chat protocol for business and AI agents MCP + SDK
I got tired of building custom chat integrations, webhooks, and billing flows for every business project. So I built OniPin. OniPin isn't 'just another chatbot'. It’s an open chat protocol designed to bridge the gap between business backends and modern AI agents.
I got tired of building custom chat integrations, webhooks, and billing flows for every business project. So I built OniPin.
OniPin isn't 'just another chatbot'. It’s an open chat protocol designed to bridge the gap between business backends and modern AI agents.
The core features:
Identity: Every business gets a unique onp_... pin.
Interoperability: Built-in MCP (Model Context Protocol) support so your agents (Cursor/Claude) can search catalogs, send messages, and handle bookings out of the box.
Production-Ready: Includes PayPal billing (fail-closed), Row-Level Security (RLS), rate limiting (Upstash), and E2E testing (Playwright).
Developer Experience: SDKs for Node, React, and Python published to npm/PyPI.
Extensibility: Native webhook support for n8n/Zapier/Make, so you don't have to write custom connectors.
It’s already live at onnivers.store, and I’ve been using it to turn business visits into actual orders and appointments without the usual friction.
I'd love to get feedback from other devs. How are you currently connecting your local agents to real-world business data?
Repo: deivys1224-ctrl/oniping"
honestly the open chat protocol angle is really interesting, would love to see some kind of built-in message versioning or rollback feature though, basically a way to track and undo specific agent actions if something goes sideways with billing or webhook calls
The open protocol angle is refreshing, and the docs made it easy to wire up a basic chat-to-backend flow in under an hour. Wish there were more sample agents to riff on out of the box.
One thing that would make this way more useful for me: a built-in way to test the chat flow locally before deploying. Maybe a simple mock backend or sandbox mode where I can simulate webhook responses and see how the agent behaves. Would save a lot of trial and error when wiring up a new client.
As someone who's wired up chat integrations more times than I'd like to admit, the protocol-first angle here is genuinely appealing. Hoping the docs make it quick to plug an agent into a real backend without the usual webhook spaghetti.
Honestly pretty interesting that you made it protocol-level instead of another chatbot wrapper. The billing and webhook pieces alone usually kill half my weekend, so having those baked in sounds like a real time-saver.
This kind of pluggable chat layer is exactly what I've been duct-taping together with webhooks and Zapier. Curious how it handles complex billing logic or if it's more for lightweight flows.
Finally tried OniPin after avoiding another chat framework, and the open protocol angle actually feels different. Hooking my backend up took way less glue code than I expected.
A protocol-first approach is a smart move here. One thing that would make this way more useful for me would be first-class support for streaming responses with backpressure handling, since most chat UIs need that for a smooth typing experience. Would love to see that baked in early.
Love that you built this out of personal frustration rather than chasing trends. Treating chat as an actual protocol layer instead of bolting on another bot widget is a smart call.
Finally a chat protocol that actually connects to my backend without forcing me to write five different webhook handlers. Tried it with a simple billing flow and it clicked in minutes, not days.
A native Zapier integration would be huge. Lots of folks already run their workflows there and it would make connecting OniPin to tools like Stripe or Calendly way easier than building custom webhooks every time.
About OniPin on Product Hunt
“OniPin A chat protocol for business and AI agents MCP + SDK”
OniPin was submitted on Product Hunt and earned 18 upvotes and 24 comments, placing #59 on the daily leaderboard. I got tired of building custom chat integrations, webhooks, and billing flows for every business project. So I built OniPin. OniPin isn't 'just another chatbot'. It’s an open chat protocol designed to bridge the gap between business backends and modern AI agents.
OniPin was featured in API (98.4k followers), Open Source (68.6k followers) and Developer Tools (516.2k followers) on Product Hunt. Together, these topics include over 101.7k products, making this a competitive space to launch in.
Who hunted OniPin?
OniPin was hunted by Deibys Herrera. 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.
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Deibys Herrera