"AI Meeting Agent uses MCP to protect decisions across meetings by detecting changes in deadlines and assignments."

Project Overview: AI Meeting Agent is an intelligent autonomous agent that transforms messy team meetings into structured, actionable outcomes. It connects meeting intelligence with execution by preserving context, extracting tasks, and assigning deadlines.

Key Features:

  1. Smart Transcription & Summarization: Uses Google Gemini to generate full transcripts, summaries, and key decisions in seconds.
  2. MCP Memory & Context Retrieval: Overcomes the limitation of traditional tools by using Model Context Protocol (MCP) to maintain long-term memory. It detects when decisions or deadlines change across meetings and alerts the team with a Context Continuity Alert.
  3. Actionable Task Extraction: Transforms discussions into clear action items with owners and deadlines, ensuring accountability.
  4. Team & Integration Management: Seamlessly manages team members and integrates with essential tools like Slack, Google Drive, and Google Calendar.
  5. Real-time Observability: Uses Grafana to provide real-time metrics and performance monitoring of the AI pipeline.

The Winning Angle: While traditional tools just summarize meetings, AI Meeting Agent PROTECTS decisions across meetings. It doesn't just remember what was said—it detects when decisions change, keeping teams aligned and moving forward.

Tech Stack: Python, FastAPI, Google Gemini, MCP, Grafana, React, Vite, PostgreSQL.

The Future: We envision AI Meeting Agent as the central execution layer for every remote team—turning every meeting into coordinated action.

Built With

  • agent
  • ai
  • fastapi
  • google-agent-builder
  • google-gemini-api
  • grafana
  • mcp
  • python
Share this project:

Updates

Submission history