If it holds your data — a database or an API — we can connect AI to it.
Every business has the system nobody integrates with — an app built years ago, a database one person understands, industry software with an API and no connector. When no off-the-shelf integration exists, we build one. Your database, your custom app, or any system with an API — ready to answer questions in Claude or Microsoft Copilot Studio.
The reports you never got around to building.
- Which customers haven't ordered in the last 90 days?
- What did we invoice last month, broken out by service line?
- Show me every job still open past the date we promised it.
- Rank products by margin instead of revenue — where are we actually making money?
- Which accounts dropped the most versus this time last year?
- Pull every overdue invoice with the contact name and email.
- How much work did each person close last week?
- Is this customer on the right price list — and when did that last change?
You don't write the query and you don't need to know how the tables fit together — that's the part we handle. You ask the question the way you'd ask a colleague.
If your data lives in a database, we can reach it.
On-prem or in the cloud, including older instances behind a firewall.
Managed or self-hosted — AWS RDS, Azure, or your own server.
The database behind most custom web and line-of-business apps.
Then we build to the API instead. Two custom connectors are already running in production this way — industry software with no connector of its own, now answering questions in plain English.
Letting AI near your database, without letting it loose.
Read-only by default
The connection can look, not touch. Anything that would change or delete data is rejected before it reaches your database. Writes are only ever possible if you deliberately turn them on for a specific job.
One address to trust
Every request arrives from a single fixed IP address we control, so your firewall rule is one line. Your database never has to be open to the internet.
Nothing gets copied out
Questions run against your live database and the answer comes straight back. There's no second copy of your data to keep in sync, secure, or worry about.
If your software has an API, it can have an AI connector. We build it.
The well-known tools are getting AI connectors. The software your industry actually runs on mostly isn't — the practice-management system, the dispatch platform, the ERP nobody outside your trade has heard of. That's the gap we build into, and it's the same work each time: your system already has an API, and we turn it into a connector your AI can use.
Software with an API
Industry or vertical software — practice management, dispatch, field service, scheduling, EHR, ERP. If there's a documented API, there's a route in. Two are live today.
The app you had built
Custom software from an agency or a developer who has moved on. Whether it exposes an API or just a database underneath, both are workable.
A connector that half exists
Sometimes one exists but doesn't do what you need, or isn't safe to point at production. We extend it, or build the part that's missing.
The honest test is simple: if a developer could integrate with it, an AI can be given the same access — with tighter limits, because we decide exactly which actions are exposed and whether any of them can write. Bring the system to a call and you'll get a straight answer on whether it's a good fit and what it would take.
Not locked to one assistant. Your database connects to Claude, Microsoft Copilot Studio, or any MCP-capable AI.
What we build is an MCP server — a connector built on the Model Context Protocol, the open standard for letting an AI assistant work with a real business system. Because it's a standard rather than a private integration, the same connector answers to every AI that speaks it:
It's a remote MCP server, hosted and maintained for you — a dedicated deployment for your company, signed in through your own Microsoft account, reaching your database over an encrypted connection. You don't run a server, and switching AI tools later doesn't mean rebuilding the integration. If you already have an MCP setup and just want the connector, that works too.
People search for this in different words — “database connector for Claude”, “database MCP server”, “database MCP connector”, or just “connect database to AI”. They all describe the same thing: one connector, and the AI assistant of your choice.
Your database and AI, answered.
How do I connect Claude to my SQL Server database?
We deploy a dedicated database MCP server for your company at its own web address and connect it to your SQL Server. In Claude you add it as a custom connector (Settings → Connectors) and sign in with your Microsoft work account. It then works in Claude Desktop, on the web and on mobile.
Does it work with Microsoft Copilot Studio?
Yes. In Microsoft Copilot Studio you add it to an agent as a Model Context Protocol (MCP) tool, and that AI agent can query your database just as Claude does. The agent can then be published to Teams and Microsoft 365 Copilot.
Is it safe to let AI query my production database?
The connection is read-only by default: every query is checked before it runs, and anything that would change or delete data is rejected before it reaches your database. Writes are only ever possible if you deliberately turn them on for a specific job.
Does my database have to be open to the internet?
No. Every request arrives from a single fixed IP address we control, so allowing it through your firewall is a one-line rule — including for older SQL Server instances on-prem.
Is there an MCP server for PostgreSQL, MySQL or Azure SQL?
Yes — the same connector works with Microsoft SQL Server and Azure SQL, PostgreSQL, and MySQL or MariaDB, whether the database is managed in the cloud or running on your own server.
Does my data get copied anywhere?
No. Questions run against your live database and the answer comes straight back, so there's no second copy of your data to keep in sync or secure.
Can you build a custom MCP server for our software's API?
Yes. If your software has a documented API, we build an MCP server on top of it and decide exactly which actions are exposed and whether any of them can write. Two custom API connectors are already running in production this way.
Do I need to run a server or be technical?
No. The connector is hosted and maintained for you, and you don't write SQL or need to know how the tables fit together. You ask the question the way you'd ask a colleague.