Every veterinarian business we've worked with has a different definition of "broken". MCP integrations only earns its keep when it solves the specific definition you'd give it on a bad day – which is why our first call is mostly listening.
Veterinarians · Applied AI
For veterinarians who want results in weeks, not a year-long transformation programme.
What MCP integrations actually does
Wire Claude, ChatGPT, or Gemini directly into your tools with the Model Context Protocol. Your team uses AI in their existing inbox, CRM, or chat – with your data, your permissions, your guardrails.
- 01 Custom MCP servers for your CRM, ERP, or in-house tools
- 02 Permission-aware so AI only sees what each user can
- 03 Tool-call audit log for compliance
- 04 Works with Claude Desktop, ChatGPT, Cursor, and more
Built on: MCP Claude TypeScript Vercel
Without Kiwi Dynamics
With Kiwi Dynamics
From the trenches
The shape of every veterinarian brief we've seen.
- Vet clinics run on bookings, recalls, and after-hours emergency calls, with a small front-desk team trying to do all three at once.
- Between surgery schedules, vaccine recalls, and owners calling mid-panic, the phone and the inbox are where clinics lose the most time.
How we build MCP integrations for veterinarians.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a veterinarian business, so value lands before the build is finished. Connect Claude to your stack.
Talk to usThe outcome for veterinarians
What changes for veterinarians after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. Existing AI tools become 10x more useful with real business context.
Not your typical AI agency.
Honest about what AI can and cannot do
Ships the one workflow that pays for itself
Hours given back, never the size of the invoice
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Questions
FAQ
How fast could we have MCP integrations in production?
Eight to ten weeks for most veterinarians. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
What's the smallest engagement you'd take on?
A two-week paid discovery for veterinarians that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
Anyone else in this space using MCP integrations?
Plenty. Existing AI tools become 10x more useful with real business context. The interesting question is rarely "does it work" – it's "is your team ready to use the output." That's what we'd scope on the call.
What if our veterinarian doesn't have any data ready?
Most don't. Getting the data into shape – ingestion, cleaning, the lightweight contracts you need before any model is useful – is part of the engagement. For MCP integrations specifically, we typically run that work on MCP, Claude, TypeScript, Vercel and assume messy starting conditions from day one.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
Get in touch
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.