MCP integration

What MCP is

MCP is an open standard that lets an AI model call tools, read data, and take actions through a defined interface. Instead of writing a custom integration for every model and every tool, you expose your systems once and any MCP-capable agent can use them. Agents like Claude, OpenAI Dots, and the frameworks people build on all speak it.

Why it matters

It is the difference between an agent that can only talk and an agent that can act inside your business. It also reduces the work of switching tools: if your systems are exposed over MCP, moving to a different agent does not mean rebuilding every connection.

What it looks like in practice

You expose a small set of actions and data sources: fetch a customer, create an order, search a knowledge base, pull a report. The agent calls them like tools. The work is deciding which actions to expose, with what arguments, and under what permissions.

Control the access

• Expose the minimum set of actions the task needs.
• Scope read and write separately.
• Require approval for anything that sends, spends, or deletes.
• Log every call so an action can be traced.

Related: custom AI development and agent governance.