The version of MCP integrations that works for a Motueka business is rarely the version a national vendor would sell you. We build the one that fits how your team actually operates – usually with fewer parts than the off-the-shelf pitch.
Tasman · Applied AI
Built and supported here – the way a Motueka business would actually use it.
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
Tasman
Where Motueka operators actually lose hours.
- Motueka is hops, apples, and a steady tourism flow toward Abel Tasman – AI here helps growers and operators handle peak weeks without panic.
- Horticulture, hospitality serving Abel Tasman tourism, and a small but resilient services sector. AI tools that work for owner-operators fit.
We work with teams across Motueka: Motueka · Mapua · Tasman · Riwaka · Kaiteriteri.
Talk to us about this →
How we build MCP integrations for a Motueka team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Motueka business, so value lands before the build is finished. Connect Claude to your stack.
Talk to usThe outcome for Motueka teams
What changes for Motueka teams 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
What's a typical engagement length for Motueka businesses?
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.
Has this actually shipped for a real Motueka?
Yes. Existing AI tools become 10x more useful with real business context. We'll share comparable engagements on the call.
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.
Worth a conversation?
Even if you don't end up working with us, you'll leave the call knowing what's worth building.
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.