AI services
Connect your systems to AI assistants
We build MCP servers and connectors that let AI assistants such as Claude safely use your internal systems and business tools, with sign-in, limits and logs.
What's included
Pick what you need. We scope and price each project separately.
MCP servers
Your databases, APIs and internal tools available to AI assistants through the Model Context Protocol.
SaaS connectors
Connectors for the business tools you use that don't have one yet.
Sign-in and permissions
Users sign in, and the assistant only sees what they're allowed to see.
Read-only by default
Write actions added only where you decide they're safe.
Audit logs
A record of what each assistant asked for and when.
Hosting
Run on your own servers or in your cloud account.
Typical projects
A few examples of the kind of work we take on.
- An MCP server that lets Claude look up orders and customers in your ERP
- A read-only connector to your reporting database
- An MCP server for an internal tool your team uses every day
- Connecting your product's API so your customers can use it from AI assistants
How we keep it safe
The same rules on every AI project.
Anthropic Claude, OpenAI, Google Gemini, Azure OpenAI, or a model on your own servers.
We agree in writing what data the AI can see and where it goes, before we build.
Anything that creates, changes or sends something can wait for a person to approve it.
We measure accuracy on your real questions and documents before launch.
Questions
Something else? Ask us.
What is MCP?
The Model Context Protocol is an open standard for connecting AI assistants to tools and data. An MCP server describes what an assistant can look up or do in your system.
Is it safe to connect our systems to AI?
It can be, when access is limited, users sign in with their own accounts, write actions are restricted and everything is logged. That's how we build them.
Tell us what you want AI to do
We reply within one business day, with questions or a free scope and price.