We've worked with enough operators in Los Angeles 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.
For Los Angeles operators who want a working pilot in weeks, not a year-long programme.
Our goal is to give Los Angeles 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 Los Angeles 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 Los Angeles context, plainly.
- LA runs on entertainment, production and a sprawling small business economy across a huge metro area - AI here has to work for a one-location shop and a studio with the same reliability.
- Film and TV production, a massive creative freelance economy, and small businesses spread across a metro area bigger than most countries. LA teams want AI that handles the admin so they can stay on the thing that actually makes money.
We work with teams across Los Angeles: Downtown LA · Hollywood · Santa Monica · Culver City · Burbank · Venice.
Talk to us about this →
How we build MCP integrations for a Los Angeles team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Los Angeles 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 Los Angeles 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 Los Angeles teams
If we build the right slice first, Los Angeles 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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
FAQ
When does MCP integrations actually pay back?
Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a Los Angeles - so the savings start landing before the rest of the build is finished.
How do you price MCP integrations engagements?
Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most Los Angeles businesses are surprised how small the first cheque is.
Has this actually shipped for a real Los Angeles?
Yes. Existing AI tools become 10x more useful with real business context. We'll share comparable engagements on the call.
Will this run on our own infrastructure?
Yes, where it makes sense. MCP integrations can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to MCP, Claude, TypeScript, Vercel but the architecture supports your existing platform choices.
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.