DataQuaLab

MCP and AI Integration

AI brings the most value when it can reach your data and systems. MCP (Model Context Protocol) is an open standard for such connections. We build MCP servers and integrations that give AI only the data and actions it needs, with rights and logs.

What is included

  • Choosing which systems and actions to open to AI
  • Developing MCP servers for your systems
  • Integrations with ERP, CRM, databases and documents
  • Access rights, limits and action logs
  • Testing and documentation

What you get

  • AI works with your real data rather than copies
  • A single way of connecting new tools
  • Control over what AI can read and change
  • Integrations your team can maintain

Who it is for

Companies whose AI assistants and agents need access to internal systems, and teams that want one managed way to connect AI instead of many separate scripts.

We work with companies worldwide.

Frequently asked questions

What is MCP in simple terms?

A common standard through which AI tools connect to data and systems. Instead of a separate integration for each tool, there is one way to connect them.

Can AI change data in our systems?

Only if you allow it. We often start with read-only access and add actions step by step, with human approval where needed.

Do our systems need to be modern?

No. If a system has an API or a database, it can usually be connected. Older systems may need an intermediate layer.

Is it tied to one AI vendor?

MCP is an open standard, which makes it easier to change models and tools later without rebuilding each integration.

On-premise or in the cloud

Everything we build can run where your data is allowed to be. We choose the option together, based on your security requirements, the law that applies to you and your budget.

  • On-premise

    On your own servers, with data and models staying inside your perimeter.

  • Private cloud

    A dedicated environment in the cloud, isolated from other customers.

  • Public cloud

    AWS, Microsoft Azure or Google Cloud: managed services for a faster start and flexible scaling.

  • Hybrid

    Sensitive data stays with you, while the rest of the workload runs in the cloud.

Free 30-minute data review

Tell us about your task. In a 30-minute online call we will find where your data breaks down and what to fix first. Free and with no obligation.