MCP for meeting memory.
The Model Context Protocol (MCP) is a standard way for an AI agent to call external tools and read external data. MeetCrew runs an MCP server over your meeting memory — so the agent you already built can read decisions, open questions, and action items, and act on them.
Your agent reads the room, over a standard
MCP lets an agent connect to a server and call named tools — no bespoke integration per data source. MeetCrew’s MCP server exposes the structured memory of your meetings as tools your agent can call: list the decisions, list open questions, list action items, search across meetings, or pull a single meeting. Every call is authenticated through Microsoft Entra and scoped to one tenant.
This is what turns memory into action. An agent you run reads what the meeting decided and does the next thing in your systems; it signs in as a Microsoft Entra service principal you grant; a Copilot Studio agent does that through the MeetCrew Memory connector. The value doesn’t hinge on MCP winning as a protocol; the same memory is reachable over an API. MCP is simply the cleanest way to hand it over today.