This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
This project has been refactored into two independent local MCP-style CLI servers:
image_mcp/ for image processing
video_mcp/ for video processing
Each server is modularized into a main.py plus a services/ package so you can add new capabilities without mixing concerns.
mcp_server/
├── image_mcp/
│ ├── __init__.py
│ ├── main.py
│ └── services/
│ ├── __init__.py
│ ├── bg_removal.py
│ ├── compress.py
│ ├── resize.py
│ ├── upscale.py
│ ├── convert.py
│ ├── crop.py
│ ├── watermark.py
│ ├── face_blur.py
│ ├── ocr.py
│ └── common.py
├── video_mcp/
│ ├── __init__.py
│ ├── main.py
│ └── services/
│ ├── __init__.py
│ ├── compress.py
│ ├── trim.py
│ ├── gif.py
│ ├── merge.py
│ ├── audio.py
│ ├── thumbnail.py
│ ├── subtitle.py
│ └── common.py
├── app.py
├── requirements.txt
├── README.md
├── input/
├── output/Related MCP server: media-mcp
pip install -r requirements.txtInstall FFmpeg on the machine and ensure it is available in PATH.
python image_mcp/main.py bg --input input/in.png --output output/out.png
python image_mcp/main.py resize --input input/in.jpg --output output/out.jpg --width 800 --height 600
python image_mcp/main.py upscale --input input/in.jpg --output output/out.jpg
python image_mcp/main.py compress --input input/in.jpg --output output/out.jpg --quality 60
python image_mcp/main.py convert --input input/in.png --output output/out.jpg
python image_mcp/main.py crop --input input/in.jpg --output output/out.jpg --x1 10 --y1 10 --x2 200 --y2 200
python image_mcp/main.py watermark --input input/in.jpg --output output/out.jpg --text "Demo"
python image_mcp/main.py faceblur --input input/in.jpg --output output/out.jpg
python image_mcp/main.py ocr --input input/in.jpgpython video_mcp/main.py compress --input input/in.mp4 --output output/out.mp4
python video_mcp/main.py trim --input input/in.mp4 --output output/out.mp4 --start 00:00:05 --end 00:00:10
python video_mcp/main.py gif --input input/in.mp4 --output output/out.gif
python video_mcp/main.py merge --inputs input/v1.mp4 input/v2.mp4 --output output/out.mp4
python video_mcp/main.py audio --input input/in.mp4 --output output/out.mp3
python video_mcp/main.py thumbnail --input input/in.mp4 --output output/thumb.jpg
python video_mcp/main.py subtitle --input input/in.mp4 --output output/out.srtEach command is implemented in a dedicated service module.
Shared validation and file-size logging is centralized in the service common files.
Both servers expose a simple argparse CLI and can be adapted into HTTP APIs later.
The architecture is intentionally local-first and easy to extend.
This server cannot be deployed
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