Model Context Protocol (MCP) is an open standard for connecting AI assistants to external tools and data sources through a common interface. It lets a model retrieve live information and take actions via standardized “servers,” instead of every integration being custom-built.
Why it exists
AI assistants are far more useful when they can reach beyond their training data — pulling current data, querying systems, or performing actions. MCP standardizes those connections so tools and data sources can be exposed to many AI clients in a consistent way.
Why it matters for AI visibility
MCP expands where and how AI systems access information, including potentially brand and product data. As more assistants and agents adopt standardized tool access, the value of accurate, structured, accessible brand data grows — it becomes the raw material these systems act on.
Related concepts
MCP is part of the broader shift toward agentic AI and tool-using assistants. See AI agents and search visibility for the strategic implications.