Connect AI assistants to your business systems
Custom MCP servers that let AI assistants such as Claude and Microsoft Copilot look up records, draft replies and take actions in your own systems, with only the access you choose to give them.
Why connect AI to your systems
- Your AI assistant gives generic answers because it can’t see your data
- Staff copy and paste between the assistant and your systems all day
- You want AI to help, but not with unrestricted access to everything
- Different teams use different assistants and need the same information
What’s included
MCP server development
A Model Context Protocol server that exposes your systems as clear, well-described tools an assistant can use.
Permissions and security
Read-only by default, access scoped per tool, secure sign-in, and approval steps before anything is changed.
Assistant setup
Connection and testing with the assistants your team already uses, such as Claude or Microsoft Copilot.
Audit and monitoring
Every tool call is logged, so you can see what was accessed, by whom and when.
MCP is an open standard supported by a growing number of AI assistants, so one connector can serve more than one tool.
Questions
What is an MCP server?
MCP (Model Context Protocol) is an open standard for connecting AI assistants to other systems. An MCP server describes what an assistant can do in your systems, such as look up a customer or draft an invoice, and handles those requests securely.
Is it safe to give AI access to our data?
Access is limited to the specific tools and records you approve. Connectors can be read-only, changes can require a person to confirm, and every request is logged.
Which AI assistants does it work with?
Any assistant that supports MCP, including Claude and Microsoft Copilot Studio. Support in other tools is growing.
Can you connect systems that have no API?
Often, yes, through database access, exports or a small integration layer. You’ll get an honest view of what’s reliable before any work starts.