Bathurst 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.
Connect Claude to your stack - wired into a Bathurst workflow, not bolted on the side.
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 Koala Dynamics
With Koala Dynamics
What we keep seeing in Bathurst.
- Bathurst pairs a university and a manufacturing base with a motorsport calendar that turns the whole city over twice a year.
- Charles Sturt University, light manufacturing, agriculture and the Mount Panorama events economy. Businesses plan a normal year around two enormous demand spikes, which is a scheduling problem before it is a marketing one.
We work with teams across Bathurst: Bathurst CBD · Kelso · West Bathurst · Eglinton · Mount Panorama.
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How we build MCP integrations for a Bathurst team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Bathurst business, so value lands before the build is finished. Connect Claude to your stack.
Talk to usThe outcome for Bathurst teams
The shape of the result for Bathurst 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.
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 fast could we have MCP integrations in production?
Eight to ten weeks for most Bathurst 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 does MCP integrations cost for a Bathurst?
Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.
What's the realistic outcome for Bathurst businesses?
Existing AI tools become 10x more useful with real business context. We don't promise tenfold lifts because we don't see them outside of marketing decks.
What if our Bathurst 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.
One short call.
Tell us what you're trying to fix. We'll come back inside a working day.
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.