MCP integrations in Tauranga.
MCP integrations that lives in your stack, not on a vendor's roadmap. Shipped from Bay of Plenty.
What this is
Connect Claude to your stack
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.
Existing AI tools become 10x more useful with real business context.
How it helps your Tauranga team
What you actually get.
- 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
Tauranga 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.
We'd call the engagement a success when Tauranga teams are using the system without thinking about us. Existing AI tools become 10x more useful with real business context.
What we keep seeing in Tauranga.
Horticulture, marine, logistics through the Port of Tauranga, and a booming services scene. Local businesses want AI that scales with seasonal swing.
We work with teams in
What we build
MCP integrations, tailored to Tauranga businesses.
- 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
Common questions
Before you book the call.
How fast could we have MCP integrations in production? +
Eight to ten weeks for most Tauranga 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 Tauranga 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.
What's the realistic outcome for Tauranga businesses? +
Existing AI tools become 10x more useful with real business context. We don't promise tenfold lifts because we don't see them outside of marketing decks.
What if our Tauranga 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 reply, one direction.
We don't run sequences or follow-up automation. One useful answer, one decision on your side.
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