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Model Context Protocol, or MCP, is a way to connect AI systems to tools and data in a structured, permission-aware way. In an Oculon context, MCP can help AI experiences reach beyond one page or one answer and work with approved systems more directly.

Why MCP matters

MCP is useful when AI needs access to trusted tools or structured context instead of only free-form text. It creates a cleaner bridge between the assistant and the systems the business actually uses.

How to think about it in Oculon

If built-in AI helps inside the product, MCP extends what that AI can safely understand or act on through controlled connections.

Keep governance first

Any MCP setup should be scoped, reviewed, and permission-aware. More tool access is not automatically better. The right MCP setup is the smallest one that supports the workflow well.