pastorsimon1798/mcp-video

# macOS
brew install ffmpeg

# Ubuntu/Debian
sudo apt install ffmpeg

pip install mcp-video
# or run without installing:
uvx mcp-video

mcp-video doctor
mcp-video doctor --json

claude mcp add mcp-video -- uvx mcp-video

{
  "mcpServers": {
    "mcp-video": {
      "command": "uvx",
      "args": ["mcp-video"]
    }
  }
}

{
  "mcpServers": {
    "mcp-video": {
      "command": "uvx",
      "args": ["mcp-video"]
    }
  }
}

from mcp_video import Client

editor = Client()

info = editor.info("interview.mp4")
clip = editor.trim("interview.mp4", start="00:02:15", duration="00:00:30")
video = editor.merge(clips=["intro.mp4", clip.output_path, "outro.mp4"])
video = editor.add_text(video.output_path, text="EPISODE 42", position="top-center", size=48)
result = editor.resize(video.output_path, aspect_ratio="9:16")

from mcp_video import Client

client = Client()
print(client.inspect("create_from_images"))  # Real params, aliases, return type

result = client.pipeline(
    [
        {"op": "create_from_images", "images": frames, "fps": 30},
        {"op": "effect_glow", "intensity": 0.2},  # safe capped default
        {"op": "add_audio", "audio_path": "soundtrack.wav", "mix": True},
        {"op": "export", "quality": "high"},
    ],
    output_path="final.mp4",
)

checkpoint = client.release_checkpoint(result.output_path)
print(checkpoint["thumbnail"], checkpoint["storyboard"])

mcp-video info video.mp4
mcp-video trim video.mp4 -s 00:02:15 -d 30
mcp-video convert video.mp4 -f webm -q high
mcp-video template tiktok video.mp4 --caption "Check this out!"

from mcp_video import Client
editor = Client()
results = editor.search_tools("subtitle")  # Find subtitle-related tools

1. Init project       -> hyperframes_init
2. Add blocks         -> hyperframes_add_block
3. Preview live       -> hyperframes_preview
4. Render             -> hyperframes_render
5. Post-process       -> hyperframes_to_mcpvideo

from mcp_video import Client
editor = Client()

mcp-video [command] [options]

editor.edit({
    "width": 1080,
    "height": 1920,
    "tracks": [
        {
            "type": "video",
            "clips": [
                {"source": "intro.mp4", "start": 0, "duration": 5},
                {"source": "main.mp4", "start": 5, "trim_start": 10, "duration": 30},
                {"source": "outro.mp4", "start": 35, "duration": 10},
            ],
            "transitions": [
                {"after_clip": 0, "type": "fade", "duration": 1.0},
            ],
        },
        {
            "type": "audio",
            "clips": [
                {"source": "music.mp3", "start": 0, "volume": 0.7, "fade_in": 2},
            ],
        },
    ],
    "export": {"format": "mp4", "quality": "high"},
})

from mcp_video.templates import tiktok_template, youtube_shorts_template

timeline = tiktok_template(video_path="clip.mp4", caption="Check this out!", music_path="bgm.mp3")
result = editor.edit(timeline)

{
  "success": false,
  "error": {
    "type": "encoding_error",
    "code": "unsupported_codec",
    "message": "Codec error: vp9 — Auto-convert input from vp9 to H.264/AAC before editing",
    "suggested_action": {
      "auto_fix": true,
      "description": "Auto-convert input from vp9 to H.264/AAC before editing"
    }
  }
}

cd workflows/01-social-media-clip
python workflow.py /path/to/video.mp4

mcp_video/
  client/                # Python Client API (mixins per domain)
  client/meta.py         # Client discovery mixin (search_tools)
  server.py              # MCP server (87 tools + 4 resources)
  server_tools_*.py      # Tool registration by category
  engine.py              # Core FFmpeg engine
  engine_*.py            # Specialized engines (thumbnail, edit, probe, etc.)
  models.py              # Pydantic models
  errors.py              # Error hierarchy + FFmpeg stderr parser
  ffmpeg_helpers.py      # Shared FFmpeg utilities
  audio_engine.py        # Procedural audio synthesis
  effects_engine.py      # Visual effects + motion graphics
  transitions_engine.py  # Clip transitions
  ai_engine.py           # AI features (Whisper, Demucs, Real-ESRGAN)
  hyperframes_engine.py  # Hyperframes CLI wrapper
  image_engine.py        # Image color analysis
  quality_guardrails.py  # Automated quality checks
workflows/               # ICM staged pipelines
  CONTEXT.md             # Layer 1 routing table
  01-social-media-clip/  # Stage contract + runnable script
  02-podcast-clip/       # Stage contract + runnable script
  03-explainer-video/    # Stage contract + runnable script

git clone https://github.com/KyaniteLabs/mcp-video.git
cd mcp-video
python -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"

pip install -e ".[dev]"
pytest tests/ -v -m "not slow and not hyperframes"