MCP integrations designed around the way a Quarry Bay team actually runs.

Our goal is to give Quarry Bay businesses a three-day weekend, so people can spend more time with their families and the people they love :)

Quarry Bay 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.

What MCP integrations actually does

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.

  • 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

Built on: MCP Claude TypeScript Vercel

What you actually get

Every engagement is scoped and quoted up front. This is what is in the box.

How MCP integrations compares

The two things most businesses do instead, and where each one runs out.

 Hiring for itAn off-the-shelf toolKiwi Dynamics
Fit to how you workFits perfectly, costs a salaryYou bend your process to suit the toolBuilt around the workflow you already run
Time to something usefulImmediate, and permanentQuick to switch on, slow to make fitA working slice in weeks, then hardened
Who owns the dataYou doThe vendor, on the vendor's termsYou do, in your own accounts
When it breaksThat person sorts it, if they are inA support queue and a ticket numberThe people who built it
What it costsA salary, every year, foreverPer seat, forever, used or notScoped and quoted up front

What we keep seeing in Quarry Bay.

  • Quarry Bay has become Hong Kong Island's secondary business hub, home to regional offices priced out of Central - AI here means Central-grade capability at a lower cost base.
  • A dense cluster of regional headquarters and professional services firms that moved east for the rent, alongside a growing media and publishing sector. Businesses here want the same AI standard as Central without the Central price tag.

We work with teams across Quarry Bay: Tai Koo · North Point · Fortress Hill · Sai Wan Ho.

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How we build MCP integrations for a Quarry Bay team.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Quarry Bay business, so value lands before the build is finished. Connect Claude to your stack.

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How the work runs

The outcome for Quarry Bay teams

If we build the right slice first, Quarry Bay teams feel the difference inside the first month. Existing AI tools become 10x more useful with real business context.

Not your typical AI agency.

Honest about what AI can and cannot do

Ships the one workflow that pays for itself

Hours given back, never the size of the invoice

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*Every engagement is scoped and quoted up front. Results vary by workflow and business.

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Kiwi Dynamics, that drops to about 52.

Try the calculator

*Based on 9 hours a week of admin at Kiwi Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

FAQ

What's the realistic timeline for MCP integrations with a Quarry Bay?

Most Quarry Bay businesses have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational - your team gets to use the thing well before the engagement is "done".

Is MCP integrations worth it for a smaller Quarry Bay?

Often, yes - and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.

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 happens if we want to swap a vendor out later?

MCP integrations is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. MCP, Claude, TypeScript, Vercel are our defaults, but the build is intentionally portable.

One short call.

Tell us what you're trying to fix. We'll come back inside a working day.

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Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.