MCP integrations in New Plymouth.
Connect Claude to your stack - wired into a New Plymouth workflow, not bolted on the side.
Knows the New Zealand rules.
Connects AI to the systems you already run, like Xero, so it can look things up and act without copy and paste.
- Xero, founded in New Zealand
- The Algorithm Charter
- Data that stays in New Zealand
Taranaki runs on dairy, energy and engineering, with one of the highest GDPs per capita in the country. We automate the tenders, timesheets and compliance that slow it down.
New Plymouth, up close.
Taranaki has long excelled in energy, engineering, manufacturing, and food and fibre, and dairy and hydrocarbons are the two key commodities driving the regional economy.
Taranaki has one of the highest GDPs per capita in New Zealand. Most New Zealand dairy herds calve in spring, July to September.
On the tools or running at scale, the admin still eats the week :)
The questions a public sector buyer asks, answered up front: privacy impact, the NZISM, where the data lives and how an algorithm is held to account.
*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.
Already buried in admin? We'll sort the first workflow for you :)
Nine hours a week of admin is 468 hours a year. That could drop to about 52.*
*Illustrative, based on 9 hours a week of admin at a typical 80% automation rate. The calculator uses your own numbers.
Not your typical AI agency.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
One workflow.
In production.
In weeks.
What MCP integrations covers
If we build the right slice first, New Plymouth teams feel the difference inside the first month.
- Custom MCP servers for your CRM, ERP, or in-house tools
- Permission-aware so AI only sees what each user can
- Tool-call audit log for compliance
- Works with Claude Desktop, ChatGPT, Cursor, and more
- No shelfware or licences you do not use
- No AI theatre
Good questions, answered
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.
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.
Can AI help with payday filing?
It can prepare it. Employers file employment information every payday, within 2 working days when filing electronically, and automation can have it ready for a person to check.
Does it keep up with KiwiSaver changes?
It has to. The minimum employer contribution rose to 3.5 per cent on 1 April 2026 and rises to 4 per cent on 1 April 2028.
Let's chat
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Tell us what you're trying to do and we'll reply with how we'd build it, no obligation.
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