MCP integrations in Taupō.
MCP integrations designed around the way a Taupō team actually runs.
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 Taupō 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
Taupō 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.
The shape of the result for Taupō teams: Existing AI tools become 10x more useful with real business context. Built on MCP, hardened with the rest of the stack as it scales.
What Taupō teams tell us when they get on a call.
Hospitality, accommodation, adventure tourism, and trades supporting a building boom. AI helps the small-team operators look big.
We work with teams in
What we build
MCP integrations, tailored to Taupō 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 Taupō 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 Taupō 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 you walk us through a comparable build? +
Yes – on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. Existing AI tools become 10x more useful with real business context.
What if our Taupō 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.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
Back to the form ↑