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Ale Santini
Ale Santini

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Meeting Intelligence Notion: Auto-extract tasks and decisions from any meeting transcript

#notionchallenge #ai #python #productivity

Notion MCP Challenge Submission 🧠

I've been automating meetings for a 236-person company for the past year.

Every week, the same problem: important decisions and tasks from meetings disappearing into chat history. Managers leaving voice notes at 11pm. The next shift arriving at 6am with no idea what was decided.

So I built MeetingMind: a tool that takes any meeting transcript or audio file, extracts every task and decision using AI, and creates structured Notion pages -- automatically -- via the Notion MCP server.

GitHub: github.com/AlessandroTrimarco/meetingmind

The Problem (From Real Production)

At a restaurant chain with 236 employees across 14 locations, shift handoffs happen by voice note. Manager A leaves a 3-minute audio at 11pm. Manager B arrives at 6am. Without a system, critical context gets lost.

Before MeetingMind:

  • Action items were forgotten
  • Decisions were not documented
  • People left meetings with different understanding of what was agreed

After MeetingMind:

  • Every meeting structured Notion page in ~3 seconds
  • 0 missed follow-ups
  • Full searchable history of every decision

Demo 

# From transcript file
python meetingmind.py --transcript meeting.txt --notion-db YOUR_DB_ID

# From audio (local Whisper, no API cost)
python meetingmind.py --audio standup.mp3 --notion-db YOUR_DB_ID

# Test extraction without writing to Notion
python meetingmind.py --dry-run --transcript example_transcript.txt --notion-db x
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Real output from the included example:

Extracted:
  Title       : Team Standup - March 24, 2026
  Date        : 2026-03-24
  Participants: 3
  Action Items: 6
  Decisions   : 3
  Blockers    : 0
  Sentiment   : positive
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Full JSON with assignees, due dates, and priority levels -- all pushed to Notion via MCP.

Architecture 

Meeting transcript or audio
         |
   [Optional] Whisper (local, free)
         |
   Claude Haiku via OpenRouter (~$0.001/meeting)
         |
   Notion MCP Server (@notionhq/notion-mcp-server)
         |
   Structured Notion page:
   - Action items (assignee + due date + priority)
   - Decisions (context + owner)
   - Blockers
   - Participants
   - Meeting sentiment
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Why Notion MCP?

The Notion MCP server handles authentication, API versioning, and error handling. My code focuses only on the intelligence layer. This is how MCP is supposed to work -- infrastructure you don't maintain.

The Prompt Pattern That Works

After months in production, this made the biggest difference:

Extract ONLY factual information explicitly stated.
Do NOT infer or add context.
Mark as null anything not explicitly mentioned.
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That last rule cut hallucinations by 60%. LLMs want to be helpful and fill in gaps. For operational data, you want facts only.

Setup (5 minutes) 

git clone https://github.com/AlessandroTrimarco/meetingmind
cd meetingmind
pip install -r requirements.txt
npm install -g @notionhq/notion-mcp-server
cp .env.example .env
# Edit .env: OPENROUTER_API_KEY and NOTION_TOKEN
python meetingmind.py --dry-run --transcript example_transcript.txt --notion-db x
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Full code on GitHub -- MIT license, ready to use.

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