A shared language for tools
An MCP server describes the functions it offers and the inputs they expect. An AI application can discover these tools and call them with structured arguments. Results return to the application and can inform the next step.
MCP does not replace authentication or the connected service's permissions. It is an interface, not automatic authorisation for every action.
What a useful connector should provide
For a CRM integration, reading, creating and deleting are different permissions. A useful connector explains these differences, returns structured errors and limits data to what is needed. Write actions need an explicit approval policy.
AI Link supports MCP connections alongside conventional integrations. Availability of a particular tool depends on the configured connection and the organisation's permissions.
An example to start with
A ticket-status request illustrates the process: the agent calls an approved tool, receives the result and connects it to the relevant case. Drafts and changes extend the workflow where the corresponding capabilities and approvals are enabled.
Sources & further reading
Original research, provider documentation and further reading on the concepts and figures discussed here.