workos-meeting-mcp-server

# Meeting MCP Server An independent MCP (Model Context Protocol) server for meeting transcription and analysis. Transcribes audio/video files locally using **faster-whisper** and generates meeting insights, notes, and follow-up emails using any Ollama-compatible LLM. ## Features - 🎙️ **Audio Transcription** — Transcribe MP3, WAV, M4A, OGG, FLAC, AAC, WMA files using faster-whisper (local, private) - 🎬 **Video Support** — Automatically extract audio from MP4, WebM, MKV, MOV, AVI files via ffmpeg - 📊 **Meeting Insights** — Extract structured data: summary, key decisions, action items, sentiment - 📝 **Meeting Notes** — Generate formatted markdown meeting notes - 📧 **Follow-up Email** — Draft professional follow-up emails - 🔒 **100% Local** — All transcription runs locally on CPU, no data leaves your machine ## Installation ```bash pip install workos-meeting-mcp-server ``` ### System Requirements - **ffmpeg** must be installed for video file support: ```bash # macOS brew install ffmpeg # Ubuntu/Debian sudo apt-get install ffmpeg # Docker — already included in WorkOS backend image ``` ## Quick Start ```bash # Basic usage (defaults to Ollama at localhost:11434) meeting-mcp-server # With custom Ollama URL and model OLLAMA_URL=http://localhost:11434 \ OLLAMA_MODEL=qwen3 \ WHISPER_MODEL=small \ meeting-mcp-server ``` ## Environment Variables | Variable | Default | Description | |----------|---------|-------------| | `OLLAMA_URL` | `http://localhost:11434` | Ollama API endpoint for LLM analysis | | `OLLAMA_MODEL` | `qwen3` | LLM model name for analysis tasks | | `WHISPER_MODEL` | `small` | Whisper model size: `tiny`, `base`, `small`, `medium`, `large-v3` | | `UPLOAD_DIR` | `data/uploads` | Directory to scan for uploaded files | | `MEETING_LOG_LEVEL` | `INFO` | Log level | ## Available Tools ### `meeting_transcribe_audio` Transcribe an audio or video file using faster-whisper. **Parameters:** - `file_path` (string, required) — Path to the au…