MCP integrations for cafes and restaurants.
Cafes and restaurants-grade MCP integrations, shipped by people who've done it before.
How the work runs
We find the one workflow costing cafes and restaurants the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.
Rosters that account for 11 public holidays, including Matariki, plus your anniversary day, without a spreadsheet.
The two or three things that decide whether this works for cafes and restaurants.
Hospitality runs on thin margins where a missed booking, a bad review left unanswered, or a slow roster costs real money.
Reservations, reviews, and rostering are the recurring admin that pulls owners off the floor.
An AI agency, minus the theatre.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
What MCP integrations actually do
Wire Claude, ChatGPT, or Gemini directly into your tools with the Model Context Protocol. With the right workflow automated, nine hours of admin a week could drop to about one.*
*Illustrative example only, based on 9 hours a week of admin falling to about 1 hour a week. Actual results vary by workflow and business.
Small crew or big organisation, the busywork is the same :)
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.
Less admin.
More weekend.
No theatre.
What you get
The shape of the result for cafes and restaurants: Existing AI tools become 10x more useful with real business context.
- 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 AI theatre
- No shelfware or licences you do not use
Questions cafes and restaurants ask
What tools do you build MCP integrations on?
For MCP integrations we usually reach for MCP, Claude, TypeScript, Vercel. We're tool-agnostic at heart - we pick what your cafe or restaurant team can actually run after we hand the build over, not what looks good on a vendor sticker.
How quickly can we see something running?
Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".
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.
Is our data kept in New Zealand?
Kiwi Dynamics hosts its own infrastructure in New Zealand, under New Zealand governance. If personal information ever has to go offshore, privacy principle 12 requires comparable protection.
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.
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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