Washington · Applied AI
MCP integrations in Seattle
Connect Claude to your stack, built for businesses operating in Seattle.
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.
The version of MCP integrations that works for a Seattle business is rarely the version a national vendor would sell you. We build the one that fits how your team actually operates – usually with fewer parts than the off-the-shelf pitch.
- 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 Seattle businesses choose this
Seattle runs on cloud computing, aerospace and coffee, home to the companies whose infrastructure half the internet's AI runs on – AI here means holding up to serious technical scrutiny.
Where Seattle operators actually lose hours.
Two of the world's largest cloud providers are headquartered here alongside a major aerospace manufacturing base. Seattle businesses, even small ones, tend to have someone on staff who can and will check your work.
We work with teams across Seattle: Downtown Seattle · Capitol Hill · Bellevue · Fremont · Ballard · Redmond.
How we build MCP integrations for a Seattle team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Seattle 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 Seattle teams
What changes for Seattle 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.
Existing AI tools become 10x more useful with real business context.
MCP integrations in Seattle – common questions
How long does MCP integrations take to ship for Seattle businesses?
We aim for a working pilot inside 4-6 weeks – narrow scope, real Seattle 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.
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 Seattle businesses are surprised how small the first cheque is.
Do you have proof this works for Seattle businesses?
Direct case study: Existing AI tools become 10x more useful with real business context. Happy to walk you through full numbers on a call.
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.
Skip the pitch.
Tell us the workflow and we'll come back with what we'd build first.
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.