The short version
MCP stands for Model Context Protocol. It gives an AI assistant a common way to discover tools and request information or actions from another system.
A connector is the part that makes a particular piece of software available through that protocol. MCP XYZ manages that connection, your authorisation and the operations the assistant is permitted to use.
Think about the stock question
Without a connection, you might export stock figures, upload a file and ask an assistant to analyse it. The assistant works with the copy you supplied. If stock changes later, that copy does not change with it.
With an authorised connector, the assistant can request supported stock records from the source software. The useful difference is access to the system, within the permissions and limits of the connection. It is not a promise that every question will be answered correctly.
There are separate parts to get right
Your software holds the business records and exposes an API. The connector makes supported API operations available as MCP tools. Your assistant discovers those tools and decides when to request one. You authorise the connection and choose access.
If any part is missing, the workflow can fail. The provider may require a particular subscription or app approval. The assistant may not support the required connection method. An account might not have permission for the record you need.
Read tools and write tools are different
A read tool retrieves information. A write tool can create, update or remove something in the source software. Start with reads while you check the connection and learn how your assistant uses it.
For changes, understand the exact action, the identifiers involved and how uncertain outcomes are handled. If a request times out, do not assume it failed before it reached the provider.
What MCP does not do
MCP does not grant access you do not have. It does not remove the provider’s usage limits, create missing API features or guarantee that an AI answer is accurate.
It also does not keep every result inside the original software. Permitted results can be returned to the assistant. Consider the assistant’s data policies alongside the connector’s controls.
Connector status and permissions matter. Our examples describe intended workflows, not a claim that live provider business acceptance is complete.