Hong Kong Island · Applied AI
MCP integrations in Central
MCP integrations that lives in your stack, not on a vendor's roadmap. Shipped from Hong Kong Island.
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.
Central 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.
- 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
Why Central businesses choose this
Central is Hong Kong's financial core, home to the regional headquarters of most major global banks – AI here has to meet a market built on precision, compliance and speed of execution.
What we keep seeing in Central.
Hong Kong's stock exchange, the regional HQs of the world's biggest banks, and a dense wealth management and private banking sector all sit within a few blocks. Businesses here expect AI that's compliant-by-default and genuinely production-ready, not a pilot.
We work with teams across Central: Admiralty · Sheung Wan · IFC · Mid-Levels · Wan Chai.
How we build MCP integrations for a Central team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Central business, so value lands before the build is finished. Every engagement starts with a short call and a paid discovery if the brief needs one.
Connect Claude to your stack.
The outcome for Central teams
Existing AI tools become 10x more useful with real business context. For Central teams, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.
Existing AI tools become 10x more useful with real business context.
MCP integrations in Central – common questions
How fast could we have MCP integrations in production?
Eight to ten weeks for most Central 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 Central 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.
Has this actually shipped for a real Central?
Yes. Existing AI tools become 10x more useful with real business context. We'll share comparable engagements on the call.
What if our Central 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.
Sketch this with us.
We'll map your real workflow before quoting anything.
Get in touch
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.