California · Applied AI
MCP integrations in San Jose
For San Jose operators who want a working pilot in weeks, not a year-long programme.
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.
Most of our San Jose engagements start the same way: a 20-minute call where the owner describes a workflow we've heard before in shape but never in detail. MCP integrations is then designed against the detail, not the shape.
- 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 San Jose businesses choose this
San Jose sits in the middle of Silicon Valley, where the AI bar is set by the companies inventing it – AI here has to be genuinely production-grade, not a wrapper on a public API.
What's different about doing this work in San Jose.
The commercial and cultural centre of Silicon Valley, surrounded by the companies that build the models everyone else uses. San Jose businesses expect AI built with real engineering discipline, because they can tell when it isn't.
We work with teams across San Jose: Downtown San Jose · Santana Row · Willow Glen · North San Jose · Almaden Valley · Berryessa.
How we build MCP integrations for a San Jose team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your San Jose 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 San Jose teams
The shape of the result for San Jose 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.
Existing AI tools become 10x more useful with real business context.
MCP integrations in San Jose – common questions
How long does MCP integrations take to ship for San Jose businesses?
We aim for a working pilot inside 4-6 weeks – narrow scope, real San Jose 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 San Jose businesses are surprised how small the first cheque is.
Anyone else in this space using MCP integrations?
Plenty. Existing AI tools become 10x more useful with real business context. The interesting question is rarely "does it work" – it's "is your team ready to use the output." That's what we'd scope on the 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.
The honest version of a sales call.
No deck. No discovery doc. Just whether this is worth building and what it would cost.
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.