MCP integrations in Whanganui.
Built and supported here – the way a Whanganui business would actually use it.
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 Whanganui 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
Most of our Whanganui engagements start the same way: a 20-minute call where the owner describes a workflow we've heard before in shape but never in detail. MCP integrations is then designed against the detail, not the shape.
The shape of the result for Whanganui 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.
The Whanganui context, plainly.
Tourism, creative industries, and a growing remote-work population. AI tools that scale a small team's reach without enterprise overhead win.
We work with teams in
What we build
MCP integrations, tailored to Whanganui 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 long does MCP integrations take to ship for Whanganui businesses? +
We aim for a working pilot inside 4-6 weeks – narrow scope, real Whanganui 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.