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MCP (Model Context Protocol)

Reviewed 19 July 2026Canonical definitionPart of: MCP & Agent Protocol Terms →

Model Context Protocol (MCP) is an open protocol for connecting AI applications and agents to external tools, data sources, and services through a standard interface. It gives clients a consistent way to discover capabilities, call tools, and exchange context with MCP servers. Because MCP lets agents take real actions, teams pair it with continuous evaluation and monitoring of what MCP-powered agents actually do in production.

§01 / QUESTIONSterm: MCP (Model Context Protocol)
Questions

Common questions.

What is MCP (Model Context Protocol)?

Model Context Protocol (MCP) is an open protocol for connecting AI applications and agents to external tools, data sources, and services through a standard interface.

Why does MCP (Model Context Protocol) matter for AI agents?

It gives clients a consistent way to discover capabilities, call tools, and exchange context with MCP servers. Because MCP lets agents take real actions, teams pair it with continuous evaluation and monitoring of what MCP-powered agents actually do in production.

Which terms are related to MCP (Model Context Protocol)?

Closely related concepts include Model Context Protocol (MCP), MCP Server, MCP Server Registry, A2A Protocol (Agent-to-Agent Protocol). Each is defined in the Prefactor glossary.

§02 / RELATEDnext: where this fits

See how every agent performs, and make it better

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