The version of MCP integrations that works for a Hamilton 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.
Waikato · Applied AI
For Hamilton operators who want a working pilot in weeks, not a year-long 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
Waikato
The Hamilton context, plainly.
- Hamilton sits at the centre of NZ's biggest agri-economy. AI here is about turning farm and supply-chain data into action – fast.
- Dairy, agritech, transport, and a growing professional services sector. Hamilton businesses want AI that works in the ute and on the farm – not just in the office.
We work with teams across Hamilton: CBD · Hamilton East · Frankton · Rototuna · Te Rapa · Cambridge · Te Awamutu · Morrinsville.
Talk to us about this →
How we build MCP integrations for a Hamilton team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Hamilton business, so value lands before the build is finished. Connect Claude to your stack.
Talk to usThe outcome for Hamilton teams
We'd call the engagement a success when Hamilton teams 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
How long does MCP integrations take to ship for Hamilton businesses?
We aim for a working pilot inside 4-6 weeks – narrow scope, real Hamilton businesses data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.
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.
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.
Who owns the code and the model setup?
You do, on delivery. We deploy MCP integrations into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. MCP sits in your account too – we don't operate it from ours.
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.