When a dentist asks us about MCP integrations, the first question we put back is the same one every time: which part of your week, if it disappeared, would change how you feel on a Friday? We start the build from that answer.
Dentists · Applied AI
Connect Claude to your stack, built around how a dentist actually works.
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
Field notes
What years of building for dentists taught us.
- Dental practices live and die by a full chair and a clean recall list, and both take constant admin to keep on track.
- No-shows, insurance queries, and recall reminders are the recurring admin load behind every dental front desk.
How we build MCP integrations for dentists.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a dentist business, so value lands before the build is finished. Connect Claude to your stack.
Talk to usThe outcome for dentists
We'd call the engagement a success when dentists are using the system without thinking about us. 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
What's a typical engagement length for dentists?
Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.
Are there hidden costs we should plan for?
Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.
Can you walk us through a comparable build?
Yes – on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. Existing AI tools become 10x more useful with real business context.
Can you work with our existing systems?
Yes. The default MCP integrations stack we reach for is MCP, Claude, TypeScript, Vercel, but we'll bend it around whatever you already run – Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.
The honest version of a sales call.
No deck. No discovery doc. Just whether this is worth building and what it would cost.
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.