A connection is useful.
Context makes it work.

What MCP provides.

Model Context Protocol gives AI applications a standardized interface to tools and information. An MCP server can expose capabilities that a compatible client discovers and uses.

For a business, that may mean an interface for retrieving an approved document or accessing a selected system operation. The useful question is which capability the application needs, and under what conditions it can use it.

What still needs engineering.

A connection does not define an active customer, reconcile two conflicting records, or decide which employee can approve an action. Those decisions belong in the business and application design.

• Define the authoritative sources and their update process.
• Make permissions and action limits explicit.
• Keep tool inputs and results understandable.
• Handle missing data and unavailable systems.
• Evaluate whether the full workflow works.

How tools relate to workflows and agents

Use the interface that fits.

MCP can help when a capability should be available to compatible AI clients. Direct APIs may be simpler for a tightly controlled application. Retrieval may be sufficient when the task is finding and explaining information.

The goal is a maintainable system that does the job. The interface is one engineering choice within that system.