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smcdonnell7

Meeting Chief Lite

by smcdonnell7
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Meeting Chief Lite

Minimal meeting transcript sync and search MCP. Downloads meetings from Otter.ai, stores them in SQLite, and provides semantic search via MCP tools.

Features

  • Otter.ai Sync: Download meeting transcripts automatically

  • Semantic Search: Find relevant transcript chunks using embeddings

  • Keyword Search: Fallback for exact text matching

  • MCP Tools: 3 focused tools for Claude/Cursor integration

Tools

Tool

Description

meetings

List, get, and browse meeting transcripts

search

Semantic and keyword search across transcripts

status

System health, sync status, and management

Quick Start

1. Configure Environment

cp .env.example .env # Edit .env with your credentials: # - OTTER_EMAIL # - OTTER_PASSWORD # - OPENROUTER_API_KEY

2. Run with Docker

# Build and run docker compose up -d # Or run directly docker run -it \ -e OTTER_EMAIL=your@email.com \ -e OTTER_PASSWORD=yourpassword \ -e OPENROUTER_API_KEY=sk-or-v1-xxx \ -v meeting-chief-data:/data \ ghcr.io/smcdonnell7/meeting-chief-lite

3. Configure MCP Client

Cursor (

{ "mcpServers": { "meeting-chief-lite": { "command": "docker", "args": ["run", "-i", "--rm", "-e", "OTTER_EMAIL", "-e", "OTTER_PASSWORD", "-e", "OPENROUTER_API_KEY", "-v", "meeting-chief-data:/data", "ghcr.io/smcdonnell7/meeting-chief-lite" ] } } }

Claude Desktop (

{ "mcpServers": { "meeting-chief-lite": { "command": "docker", "args": ["run", "-i", "--rm", "-e", "OTTER_EMAIL=your@email.com", "-e", "OTTER_PASSWORD=yourpassword", "-e", "OPENROUTER_API_KEY=sk-or-v1-xxx", "-v", "meeting-chief-data:/data", "ghcr.io/smcdonnell7/meeting-chief-lite" ] } } }

Usage Examples

# List recent meetings meetings operation:list limit:10 # Get specific meeting meetings operation:get id:meeting_123 # Search transcripts search query:"API migration" mode:semantic # Search with date filter search query:"budget" after:2026-01-01 # Check system status status operation:health # Sync from Otter.ai status operation:run_sync sync_days:30 # Generate embeddings for new meetings status operation:generate_embeddings

Database

SQLite database with 7 tables:

  • meetings - Meeting metadata and transcripts

  • transcript_chunks - Parsed transcript segments

  • transcript_vectors - Embeddings for semantic search

  • embedding_jobs - Embedding generation queue

  • sync_runs - Sync audit log

  • speakers - People roster

  • app_settings - Configuration

Development

# Install dependencies npm install # Build npm run build # Run locally npm start

License

MIT

Install Server
A
security – no known vulnerabilities
F
license - not found
A
quality - confirmed to work

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