MCP Servers: Connecting AI Applications to Business Tools

The Model Context Protocol provides a standard way for compatible AI applications to discover and use tools and resources exposed by servers. Enterprise implementations still need strong identity, least-privilege authorization, input validation, audit trails and careful review of tool side effects.

How to put this into practice

Start with a clearly defined use case, measurable acceptance criteria and representative data. Validate assumptions with a small evaluation, then expand the solution with security, governance and operational monitoring built in.

Every implementation should be reviewed against the needs of its users, the risks of its environment and the evidence gathered during testing.