@ash_j1997/ffmpeg-mcp-server

ffmpeg-mcp-server

A Model Context Protocol (MCP) server that gives AI tools access to FFmpeg and FFprobe to process video and audio locally.

Supports cross-platform GPU hardware encoding (Apple Silicon, NVIDIA NVENC, Intel QuickSync, AMD AMF), live progress updates via MCP progress tokens, instant cancellation via AbortSignal, and inlines image previews directly for multimodal vision models.

Why This Exists

When AI agents process media, they often hallucinate invalid flags, syntax errors, or incompatible pixel formats.

This server provides 17 typed tools using Zod schemas. The AI passes parameters (such as { inputPath: "video.mov", preset: "web_mp4" }), and the server runs the valid FFmpeg command locally with proper error handling, hardware acceleration, and progress notifications.

Key Features

• Universal Hardware Acceleration: Automatically detects and leverages hardware encoders across macOS (VideoToolbox), Linux/Windows GPUs (NVIDIA NVENC, Intel QuickSync, AMD AMF, and VA-API) for 5x–20x faster exports with low CPU usage.
• Real-time Progress Reporting: Emits live percentage updates via standard MCP progress tokens (notifications/progress), enabling progress bars in modern AI clients.
• Instant Cancellation: Listens to client AbortSignal events to immediately terminate child FFmpeg processes when a generation is stopped.
• Multimodal Vision Previews: Inlines base64 image data for thumbnails, audio waveforms, and multi-frame contact sheets so vision models (Claude 3.7, GPT-4o, Gemini) can "see" media content.
• Social Formats & Automation: Reformats landscape video to 9:16 vertical video with blurred backgrounds, burns customizable hardcoded subtitles, and stacks top/bottom split-screen reels for TikTok and Instagram Reels.
• Audio Engineering: Normalizes loudness to broadcast/streaming standards (EBU R128 / -16 LUFS), cleans vocal audio with 80Hz rumble removal, and trims dead air while preserving lip-sync.

Included Tools (17 Total)

Tool	Description	Key Parameters
media_probe	Inspects media files with ffprobe. Returns metadata, streams, codecs, resolution, and duration as JSON.	inputPath
media_convert	Converts video and audio formats. Includes presets for web MP4, WebM, and animated GIF with GPU acceleration.	inputPath, outputPath, preset, crf, resolution, fps, hardwareAcceleration
trim_media	Cuts a segment from a video or audio file using stream copy or re-encoding.	inputPath, outputPath, startTime, endTime, duration, accurateReencode
extract_audio	Rips audio tracks from video. Includes a 16kHz mono WAV preset for Whisper speech recognition.	inputPath, outputPath, format, bitrate
extract_thumbnail	Captures a still image at a timestamp or midpoint. Returns base64 image data for vision models.	inputPath, outputPath, timestamp, resolution, includeBase64
compress_video	Compresses video to fit target sizes (such as GitHub PRs under 10MB or Discord under 25MB).	inputPath, outputPath, targetSizeMB, preset, crf, maxWidth, hardwareAcceleration
reformat_aspect_ratio	Changes video ratio to 9:16 vertical, 1:1 square, or 4:5 portrait with blurred borders or center crop.	inputPath, outputPath, targetRatio, mode, blurAmount, padColor, hardwareAcceleration
create_split_screen	Stacks two videos top-and-bottom (9:16 Reels/TikTok) or side-by-side with audio mixing and subtitles.	firstVideoPath, secondVideoPath, outputPath, layout, audioSource, subtitlesPath
trim_silence	Detects and removes silent pauses from recordings while preserving video & audio lip-sync.	inputPath, outputPath, mode, thresholdDb, minDurationSeconds
concat_media	Joins multiple video or audio files in order using stream copy or re-encoding.	inputPaths, outputPath, mode
generate_waveform	Generates a PNG waveform image. Returns base64 image data for vision models.	inputPath, outputPath, width, height, color, scale, includeBase64
add_subtitles	Embeds SRT or VTT subtitle tracks into MP4/MKV video files without re-encoding video.	videoPath, subtitlesPath, outputPath, language, title
burn_subtitles (New)	Hardcodes subtitles directly onto video frames with customizable font size, colors, and margins.	videoPath, subtitlesPath, outputPath, fontSize, fontColor, outlineColor, marginV
extract_keyframes (New)	Extracts multiple representative frames across the video and generates a contact sheet grid for vision AI.	inputPath, outputPath, count, layout, includeBase64
normalize_audio (New)	Normalizes audio loudness using EBU R128 (default -16 LUFS) with optional speech clarity high-pass filter.	inputPath, outputPath, targetLufs, targetPeakDb, voiceClarity
add_overlay (New)	Places a watermark image or logo PNG over video with customizable corner position, scale, and opacity.	videoPath, overlayPath, outputPath, position, padding, scaleWidth, opacity
change_speed	Adjusts playback speed (such as 2x fast forward or 0.5x slow motion) with pitch correction.	inputPath, outputPath, speed, muteAudio

MCP Resources & Prompts

Resources

• media://capabilities: Inspects local FFmpeg installation, active version, detected hardware accelerators (VideoToolbox, NVENC, QSV, AMF, VAAPI), and supported video encoders.
• media://presets: Standard reference table of social aspect ratios, platform upload file size limits, and broadcast audio loudness targets.

Prompts

• social_clip_generator: Interactive workflow that turns raw landscape video into vertical shorts with blurred background padding, trimmed silence, and hardcoded captions.
• whisper_audio_prep: Standard pipeline for extracting 16kHz mono WAV audio and normalizing loudness for speech-to-text models.

Requirements

• Node.js >= 18.0.0
• FFmpeg & FFprobe installed locally:
  • macOS: brew install ffmpeg
  • Linux (Ubuntu/Debian): sudo apt update && sudo apt install ffmpeg libass-dev
  • Windows: winget install Gyan.FFmpeg or choco install ffmpeg

Installation

Quick Start (Claude Desktop, Cursor, Antigravity)

Run directly with npx (no manual cloning or building required):

{
  "mcpServers": {
    "ffmpeg": {
      "command": "npx",
      "args": ["-y", "@ash_j1997/ffmpeg-mcp-server"]
    }
  }
}

Configuration File Locations:

• Claude Desktop (macOS): ~/Library/Application Support/Claude/claude_desktop_config.json
• Claude Desktop (Windows): %APPDATA%\Claude\claude_desktop_config.json
• Antigravity IDE: ~/.gemini/config/mcp_config.json
• Cursor / Windsurf: Add as a stdio server with command npx and args ["-y", "@ash_j1997/ffmpeg-mcp-server"]

Local Development & Testing

• Install dependencies:

  npm install
  

• Run build and automated test suite:

  npm test
  

License

MIT © Ashutos1997