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. The agent you run — on Copilot Studio, Microsoft Foundry, or your own stack — reads what the meeting decided and does the next thing in your systems. 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.