It can be surprisingly difficult for businesses to get accurate answers to questions about their own data. Often, the data live in different systems or aren’t easily accessible to employees without specific technical skills. Some data may be in Salesforce but not in the company’s content management system—and vice versa. However, an employee might need all of those data to get the full picture.

For many organizations, a model context protocol (MCP) is the answer to this problem. Many employees already use large language models (LLMs) like Claude or ChatGPT to some extent throughout the day. An MCP simply increases what they can do with these applications, allowing them to get answers about internal data sources by using the same method they’ve grown used to: asking AI.

 …