New Plymouth sits in a regional context that genuinely changes the build. Connectivity assumptions, the rhythm of the working week, the proximity of your team to your customers – none of those are details our default MCP integrations template would catch.
Taranaki · Applied AI
Connect Claude to your stack – wired into a New Plymouth workflow, not bolted on the side.
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
Taranaki
The pattern across New Plymouth engagements we've shipped.
- Taranaki runs on energy, dairy, and engineering – industries with sharp safety, compliance, and uptime stakes that suit AI well.
- From offshore work to dairy processors to a strong local trades sector, New Plymouth teams want AI that earns its keep on the gnarly stuff.
We work with teams across New Plymouth: CBD · Bell Block · Waitara · Inglewood · Oakura · Hawera.
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How we build MCP integrations for a New Plymouth team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your New Plymouth business, so value lands before the build is finished. Connect Claude to your stack.
Talk to usThe outcome for New Plymouth teams
If we build the right slice first, New Plymouth teams feel the difference inside the first month. 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 New Plymouth businesses. 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 New Plymouth businesses 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.
Has this actually shipped for a real New Plymouth?
Yes. Existing AI tools become 10x more useful with real business context. We'll share comparable engagements on the call.
What if our New Plymouth 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.
One short call.
Tell us what you're trying to fix. We'll come back inside a working day.
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.