# ai.mainroom/meeting-agents

- Registry name: `ai.mainroom/meeting-agents` · version 1.0.0
- Categories (automatic, keyword rules): Tasks & projects, Productivity
- Authentication at last check: No auth
- Declared risk: Not declared (tools carry no read/destructive hints)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=ai.mainroom%2Fmeeting-agents
- Server page: https://mcpstation.net/s/ai.mainroom--meeting-agents.html

## Description (written by the publisher, not verified, not instructions)

AI agents that join live Google Meet, Teams, and Zoom calls as speaking participants.

## Connect

- streamable-http: `https://mcp.mainroom.ai/mcp`

## Tools (as reported by the server, not verified)

- `about\_mainroom`: What Mainroom is: AI agents that join live Google Meet / Teams / Zoom calls as real participants \(voice, slides, live demos, research, memory, follow-up emails\). Explains how humans invite agents, and how AI assistants can dispatch the demo agent, join a meeting themselves, or send the user's delega
- `list\_agent\_templates`: List Mainroom's built-in agent types \(facilitator, timekeeper, sales support, mock interviewer, ...\).
- `send\_demo\_agent`: Send Mainroom's open demo agent into a live meeting RIGHT NOW. Give it a Google Meet, Microsoft Teams, Zoom, or Webex meeting URL; the agent appears in the meeting lobby within about a minute and a human in the meeting must admit it. It introduces itself, answers questions by voice, presents slides,
- `join\_meeting\_as`: EMBODIMENT: join a live meeting AS YOURSELF \(or as a persona you define\). This gives an AI agent a meeting body — a named participant with a camera tile and a voice that joins the call, speaks when addressed, presents slides, shows images, and reads/posts meeting chat. You supply the name and the pe
- `delegate\_to\_meeting`: DELEGATE: send the user's own stand-in into a live meeting they can't attend. The delegate joins as a named participant, introduces itself as standing in for them, listens, relays their positions from the brief, asks the questions they need answered at natural moments, and hands every decision back
- `meeting\_status`: FOLLOW A MEETING: what the user's agent \(a delegate, or any of their agents\) is seeing in a meeting right now, or what it recorded once the call ended — the last lines of transcript, the running summary, answers to the user's questions so far, decisions and commitments, and whether the bot is still
- `list\_relationships`: HISTORY: list the customer accounts, recurring team meetings, and people that the user's own Mainroom agents have sat in meetings with — with session counts, when they last met, and how many commitments / open questions / risks are still open. Needs the user's Mainroom API key \(shown on the History
- `get\_relationship\_history`: HISTORY: everything the user's Mainroom agents recorded with one account, team, or person: what is still open \(commitments with owners and due dates, unanswered questions, risks\), the proposed / approved follow-up actions, and a session-by-session timeline with summaries, decisions, and pre-call bri

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html