Custom MCP servers
Give compatible AI tools a defined, permission-controlled way to work with your systems. Start with specific actions and clear boundaries.
04 / Integrations & local AI
Your tools. Finally working together.
If your tools do not talk to each other, someone ends up copying and pasting between them. I build the connection—or a local AI setup when your needs call for more control over where processing happens.
Connect what you have. Build what is missing.
Connections between business tools
Connect your store, inbox, calendar, CRM, spreadsheets, and internal systems through supported APIs.
AI on your own hardware
Set up and evaluate local models against your actual tasks, with a realistic view of hardware, speed, quality, and maintenance.
A review of what you already use
Look at current subscriptions, data access, costs, and workflows. Get a practical recommendation before buying or building more.
A practical way forward
Know what
you’re getting.
- A map of systems and allowed actions
- Secure authentication and limited access
- A tested connection or local setup
- Documentation and optional hands-on training
A little more
useful context.
All field notes Connected tools01
What is an MCP server, and does your business need one?
A plain-English guide to custom MCP servers: what they connect, when they help, and the permissions a business integration should have.
2 min readRead the note
Connected tools02
Should your business run AI locally?
Compare local AI with hosted services using your real workload, hardware, data requirements, and support needs before committing to a setup.
2 min readRead the note
AI & automation03
How to review the AI tools your business already pays for
Audit AI subscriptions by task, usage, data access, and outcomes. Find overlapping tools and decide what to keep, connect, or replace.
2 min readRead the note
Let’s build the better way
Which tools should be talking to each other?
Tell me about it
You bring the idea.
I’ll bring the build.