California · Applied AI
MCP integrations in San Francisco
Connect Claude to your stack – wired into a San Francisco 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.
The reason we take on work in San Francisco is that the businesses here tend to be sharper about what they want than the brief lets on. MCP integrations for a San Francisco team almost always ends up looking different to MCP integrations for a downtown Auckland one.
- 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 Francisco businesses choose this
San Francisco is where the AI industry itself is headquartered – any AI pitched here is judged against the frontier labs a few blocks away, not against a competitor's landing page.
Our field notes from San Francisco builds.
The highest concentration of AI research labs and startups anywhere in the world, sitting alongside legacy finance and professional services firms adopting AI for the first time. San Francisco is the least forgiving market for a weak AI product, and the best one for a genuinely strong one.
We work with teams across San Francisco: Financial District · SoMa · Mission District · Marina · Nob Hill · Hayes Valley.
How we build MCP integrations for a San Francisco team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your San Francisco 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 Francisco teams
We'd call the engagement a success when San Francisco teams are using the system without thinking about us. 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 San Francisco – common questions
What's the realistic timeline for MCP integrations with a San Francisco?
Most San Francisco businesses have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational – your team gets to use the thing well before the engagement is "done".
What does MCP integrations cost for a San Francisco?
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.
Has this actually shipped for a real San Francisco?
Yes. Existing AI tools become 10x more useful with real business context. We'll share comparable engagements on the call.
What happens if we want to swap a vendor out later?
MCP integrations is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. MCP, Claude, TypeScript, Vercel are our defaults, but the build is intentionally portable.
One short call.
Tell us what you're trying to fix. We'll come back inside a working day.
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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.