Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@video-face-masking-mcp Detect and mosaic faces in this video, I need the restore key"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Automatically detect and mask people in video and images — and undo it later. Unlike one-way anonymization, masking here is reversible: original regions are encrypted with a key you keep, so restoration of the original footage is possible for legal review or audit.
영상·이미지 속 얼굴을 자동으로 탐지해 모자이크 처리하는 MCP 서버입니다. 프레임마다 손으로 가릴 필요가 없고, 발급된 키로 원본 복원이 가능합니다.
Masking faces in a video by hand does not scale. A 12-minute clip at 30fps is over 21,000 frames. Picking coordinates for every person in every frame is not realistic work.
This server takes a different approach: detection is automatic. You do not select coordinates. The server finds faces in each frame and masks only those regions — never the whole frame.
Related MCP server: sensitive-info-mcp
A video or photo contains bystanders whose faces must be hidden before publishing
A clip is too long to mask frame by frame by hand
Several people appear at once and each of them must be masked
You need to restore the original later — for legal review or internal audit
You want mosaic, blur, or solid redaction rather than a full-image filter
Capability | Detail |
Automatic face detection | No coordinates required. Multiple faces per frame. |
Masking styles | mosaic (pixelation), gaussian blur, solid redaction |
Targets | face (body and license plate planned) |
Media | image, video |
Reversible masking | Original regions are encrypted with a key you keep. Restore with that key. |
Long media | Processed as a job you can poll, then download the result |
Most anonymization is one-way. This server encrypts the original pixel regions before masking them and returns a key. Passing that key to the restore tool puts the original back.
Restoration is pixel-exact for images (output is written as lossless PNG). For video, frames are re-encoded, so restoration is visually faithful but not bit-identical.
The key is returned to the caller and not stored server-side. If the key is lost, the masking is permanent.
This hides people by covering the detected regions. It does not erase them or repaint the background — it is not video inpainting or object removal. If you need the background reconstructed behind a person, this is not the right tool.
Tool | Purpose |
| Detect and mask faces in an image in a single call |
| Detect and mask faces across video frames in a single call |
| Restore a masked result to the original using the key |
| Poll a running job |
| Describe supported targets, styles, and limits |
docker build -t video-face-masking-mcp .
docker run --rm -p 8765:8765 video-face-masking-mcpThe MCP endpoint is served over Streamable HTTP at /mcp.
A server card is published at /.well-known/mcp/server-card.json.
video mosaic, video face blur, automatic face masking, face redaction, video de-identification, video anonymization, privacy masking, batch face detection masking, reversible masking, restoration of masked video, hiding people in video
영상에서 지나가는 행인 얼굴을 자동으로 찾아 모자이크 처리합니다
좌표를 일일이 지정하지 않아도 됩니다
여러 명이 동시에 나와도 한 번에 처리됩니다
법적 확인 등을 위해 원본 복원이 필요한 경우, 발급된 키로 되돌릴 수 있습니다
전체 화면을 흐리게 하는 방식이 아니라, 탐지된 얼굴 영역만 처리합니다
MIT
This server cannot be deployed
Automatic image/video face detection, blur/redaction, and de-identification by NoonAI DIS.
Automatic image/video face detection, blur/redaction, and de-identification by NoonAI DIS.
Automatic image/video face detection, blur/redaction, and de-identification by NoonAI DIS.
Automatic video mosaic, face masking, and privacy de-identification by NoonAI DIS.