AbhiMeet

AbhiMeet

Free, open-source meeting recorder with AI transcription & reporting via Claude MCP

Drop Fireflies.ai. Record locally. Let Claude do the rest.
Record meetings with audio + screen capture. Whisper AI transcribes locally in 90+ languages. Claude generates meeting minutes, action items, summaries, and reports — all through MCP.

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Why AbhiMeet?

Feature	Fireflies.ai	AbhiMeet
Monthly cost	$19-39/user	Free forever
Data storage	Their cloud	Your local disk
Privacy	Uploads to cloud	100% offline
Languages	Limited	90+ via Whisper
AI Reports	Built-in (limited)	Claude AI (unlimited)
Screen recording	No	Yes
Custom reports	No	Yes — MOM, action items, decisions, anything
Open source	No	Yes — MIT License

Demo

You:     "Transcribe my latest recording"
Claude:  Transcribing Budget-Review_160426_0230PM... Detected Hindi (92% confidence)
         Transcribed 47 segments in 12 seconds. Saved.

You:     "Generate meeting minutes with action items"
Claude:  ## Meeting Minutes — Budget Review (16 Apr 2026)
         ### Action Items:
         1. Abhishek to finalize vendor quotes by Friday
         2. Send revised budget to accounts team
         ...

Features

• One-Click Recording — Single button to record mic + system audio + screen simultaneously
• 3 Output Files Per Recording:
  • Subject_Audio_DDMMYY_HHMMam.mp3 — Audio only (for Claude transcription)
  • Subject_Video_DDMMYY_HHMMam.webm — Screen only (for visual analysis)
  • Subject_AV_DDMMYY_HHMMam.mp4 — Combined audio + video (for sharing)
• Live Audio Waveform — Real-time visualization with frequency bars so you know recording is working
• Recording Feedback — Animated indicators: "Audio capturing", "Screen capturing", "Saving to disk"
• Built-in Media Player — Audio, Video, and Combined tabs with native playback
• Whisper AI Transcription — Local speech-to-text (no API key, no internet required)
• Video Frame Extraction — Claude can "see" what was on screen during the meeting
• 15 MCP Tools — Full Claude integration for transcription, summaries, reports
• Multi-Language — English, Hindi, Gujarati, Marathi, Bengali, Kutchi + 90 more
• Configurable Storage — Browse and set your own recording folder
• Dark Theme UI — Clean, professional, distraction-free interface
• Zero Subscription — No cloud, no account, no recurring payments

Installation

Prerequisites

• Node.js v18+
• Python v3.10+
• uv — fast Python package manager
• FFmpeg — for audio/video processing

Quick Setup

# 1. Clone
git clone https://github.com/abhishekjoshi-eng/AbhiMeet.git
cd AbhiMeet

# 2. Install the Electron app
cd app
npm install
cd ..

# 3. Install the MCP server + Whisper
cd mcp-server
uv sync
cd ..

# 4. Download FFmpeg (Windows)
# Download from https://www.gyan.dev/ffmpeg/builds/
# Place ffmpeg.exe and ffprobe.exe in app/ffmpeg/

# 5. Run!
cd app
npx electron .

Connect to Claude Desktop (Cowork)

Add this to %APPDATA%/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "abhimeet": {
      "command": "uv",
      "args": ["--directory", "C:/path/to/AbhiMeet/mcp-server", "run", "main.py"]
    }
  }
}

Connect to Claude Code

Add this to .claude/.mcp.json:

{
  "mcpServers": {
    "abhimeet": {
      "command": "uv",
      "args": ["--directory", "/path/to/AbhiMeet/mcp-server", "run", "main.py"]
    }
  }
}

Restart Claude. You'll see 15 AbhiMeet tools available.

MCP Tools (15)

Tool	What It Does
list_recordings	List all meeting recordings with metadata
get_recording_info	Get full details about a specific recording
get_audio_file_path	Get path to the audio MP3 for analysis
get_video_file_path	Get path to the screen recording WebM
get_combined_file_path	Get path to the combined A+V MP4
transcribe_recording	Transcribe audio using Whisper AI (runs locally, no API key)
extract_video_frames	Extract screen frames so Claude can see what was shown
save_transcription	Save transcription text to the recording folder
read_transcription	Read back a saved transcription
save_summary	Save a meeting summary
read_summary	Read a saved summary
save_report	Save reports — MOM, action items, decisions, follow-ups
search_recordings	Full-text search across all recordings
get_storage_stats	Storage usage and disk space stats
delete_recording	Delete a recording and all its files

How It Works

Record Meeting          Whisper Transcribes        Claude Analyzes
    |                        |                         |
    v                        v                         v
[AbhiMeet App]  --->  [MCP Server]  --->  [Claude Desktop/Code]
    |                        |                         |
    v                        v                         v
3 files saved         Speech -> Text            Reports, MOM,
(MP3+WebM+MP4)     (90+ languages)          Action Items, Summary

Usage Examples

After connecting to Claude, just talk naturally:

What You Say	What Happens
"List my recordings"	Shows all recordings with dates, durations, file types
"Transcribe my latest recording"	Whisper runs locally, saves transcription
"Generate meeting minutes"	Claude reads transcription, creates structured MOM
"What action items came up?"	Extracts and lists all commitments and deadlines
"Summarize in Hindi"	Generates summary in Hindi from English recording
"What was shown on screen?"	Extracts video frames, Claude describes visual content
"Search recordings for 'budget'"	Finds all recordings mentioning budget

File Naming Convention

Every recording creates a folder with 3 properly named files:

Budget-Review_160426_0230PM/
    Budget-Review_Audio_160426_0230PM.mp3      (Audio only)
    Budget-Review_Video_160426_0230PM.webm     (Screen only)
    Budget-Review_AV_160426_0230PM.mp4         (Combined)
    metadata.json                              (Recording metadata)

Format: Subject_Type_DDMMYY_HHMMam.ext

Supported Languages

Powered by Whisper AI — supports 90+ languages including:

Language	Code	Language	Code
English	en	Hindi	hi
Gujarati	gu	Marathi	mr
Bengali	bn	Tamil	ta
Telugu	te	Kannada	kn
Urdu	ur	Punjabi	pa
Arabic	ar	Chinese	zh
Japanese	ja	Korean	ko
French	fr	German	de
Spanish	es	Portuguese	pt

Project Structure

AbhiMeet/
  app/                          # Electron desktop app
    src/
      main/                     # Main process
        index.js                # App window, permissions, tray
        ipc-handlers.js         # Recording logic, 3-file output
        file-manager.js         # FFmpeg conversion, file naming
        settings.js             # Settings + MCP config sync
        tray.js                 # System tray
      renderer/                 # Frontend UI
        index.html              # Dark theme, waveform, player
        styles.css              # Professional dark UI
        app.js                  # Recording, playback, waveform
      preload.js                # Secure IPC bridge
    assets/icon.svg             # App icon
    ffmpeg/                     # FFmpeg binaries (not in repo)
    package.json
  mcp-server/                   # Python MCP server
    main.py                     # 15 tools + Whisper transcription
    config.json                 # Storage path config
    pyproject.toml              # Dependencies
  recordings/                   # Auto-created recording storage
  LICENSE                       # MIT License
  README.md

Tech Stack

Component	Technology	Purpose
Desktop App	Electron 33	Cross-platform recording UI
Audio/Video	FFmpeg	MP3 conversion, A+V merging
Transcription	faster-whisper	Local Whisper AI (no cloud)
AI Integration	MCP (Model Context Protocol)	Claude tools
MCP Server	FastMCP (Python)	15-tool server
UI	HTML/CSS/JS	Dark theme with live waveform

Contributing

Contributions are welcome! Feel free to:

• Open issues for bugs or feature requests
• Submit pull requests
• Add support for more platforms (macOS, Linux)
• Improve Whisper model selection
• Add speaker diarization

Roadmap

• macOS and Linux support
• Speaker diarization (who said what)
• Auto-record when Zoom/Meet/Teams call starts
• Calendar integration for auto-naming
• Export reports to PDF/Word
• Electron auto-updater

License

MIT License - see LICENSE for details.

Author

Abhishek Tansukh Joshi
GitHub: @abhishekjoshi-eng

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If AbhiMeet saved you a Fireflies subscription, give it a star!
https://github.com/abhishekjoshi-eng/AbhiMeet