We've worked with enough operators in One-North to know that the brief that arrives in our inbox is rarely the brief that ends up shipped. The first thing we do on any MCP integrations project is sit with your team for a day before we propose anything.
Connect Claude to your stack, built for businesses operating in One-North.
Our goal is to give One-North businesses a three-day weekend, so people can spend more time with their families and the people they love :)
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
Without Kiwi Dynamics
With Kiwi Dynamics
What you actually get
Every engagement is scoped and quoted up front. This is what is in the box.
- A working pilot, in productionNot a prototype on someone's laptop. The first slice of MCP integrations runs against real work within weeks.
- Your data stays yoursIt runs on your accounts and your tools. If we part ways you keep the system and everything in it.
- The workflow mapped before codeWe write down what good looks like for One-North businesses first, so nobody is guessing at handover.
- Support after it landsThe people who built it stay reachable when the business changes shape around it.
How MCP integrations compares
The two things most businesses do instead, and where each one runs out.
| Hiring for it | An off-the-shelf tool | Kiwi Dynamics | |
|---|---|---|---|
| Fit to how you work | Fits perfectly, costs a salary | You bend your process to suit the tool | Built around the workflow you already run |
| Time to something useful | Immediate, and permanent | Quick to switch on, slow to make fit | A working slice in weeks, then hardened |
| Who owns the data | You do | The vendor, on the vendor's terms | You do, in your own accounts |
| When it breaks | That person sorts it, if they are in | A support queue and a ticket number | The people who built it |
| What it costs | A salary, every year, forever | Per seat, forever, used or not | Scoped and quoted up front |
The One-North context, plainly.
- One-North is Singapore's dedicated biotech, media and tech research precinct - AI here is judged by researchers and engineers, not procurement teams.
- Biopolis, Fusionopolis and a dense cluster of biotech, media and deep-tech startups sit inside one of the most concentrated research precincts in Asia. Businesses here expect AI built with real technical rigor, since many of them build AI themselves.
We work with teams across One-North: Biopolis · Fusionopolis · Mediapolis · Ayer Rajah · Buona Vista.
Talk to us about this →
How we build MCP integrations for an One-North team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your One-North business, so value lands before the build is finished. Connect Claude to your stack.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing One-North businesses the most hours or the most leads, and deliberately ignore the rest for now.
- Ship a working sliceA narrow version goes into production in weeks, against real work, so the value shows up before the build is finished.
- Prove it, then widenWe measure it against what the work cost before. If it does not pay for itself, we say so rather than scaling it.
- Harden and hand overLogging, fallbacks and a real handover, so it keeps running when we are not in the room.
The outcome for One-North teams
What changes for One-North teams after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. 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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
FAQ
How long does MCP integrations take to ship for One-North businesses?
We aim for a working pilot inside 4-6 weeks - narrow scope, real One-North 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.
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.
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.
The honest version of a sales call.
No deck. No discovery doc. Just whether this is worth building and what it would cost.
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.