NoonAI YOLO Face Only Image/Video Anonymization MCP
Integrate YOLO face detection and anonymization into your agent media pipeline while you build features that ingest photos or video.
Overview
com.dyndns-server.noon-ai/face-detection-anonymization-mcp is a Build-phase MCP server that runs YOLO face detection and face-only anonymization on images and video via streamable HTTP.
What is this MCP server?
- NoonAI YOLO Face-Only Image/Video Anonymization MCP (version 0.1.11)
- Pairs detection and anonymization in one remote tool surface
- Face blur, redaction, body and plate masking capabilities
- Streamable-http endpoint for standard MCP clients
- Part of a four-endpoint NoonAI DIS MCP catalog family on one repository
- Highest listed version in this batch: 0.1.11
- Remote path face-detection-anonymization-mcp on shared NoonAI host
- Four related MCP server names documented from one GitHub repo
What problem does it solve?
You are building media features and need face detection plus anonymization in the agent loop without maintaining your own YOLO deployment.
Who is it for?
Agent-first builders prototyping moderation, redacted previews, or CV-backed SaaS features during active development.
Skip if: Production-only compliance programs that forbid external inference or need solely on-device mobile SDK blur.
What do I get? / Deliverables
Install the MCP remote and your agent can detect and anonymize faces as an integration step while you implement uploads and moderation.
- Detected-face regions anonymized on images or video
- Reusable agent-call pattern for privacy transforms in your app design
- Alignment with sibling NoonAI MCP endpoints for alternate blur workflows
Recommended MCP Servers
Journey fit
Detection-plus-anonymization is often wired during Build when you connect uploads, moderation hooks, or agent tooling to external vision services. Integrations subphase is where MCP remotes replace one-off scripts so Claude Code or Cursor can call anonymization during feature work.
How it compares
YOLO anonymization MCP endpoint, not a brainstorming or code-review methodology skill.
Common Questions / FAQ
Who is face-detection-anonymization-mcp for?
Solo builders and agent users integrating computer-vision privacy into apps under active development with MCP-supported editors.
When should I use face-detection-anonymization-mcp?
Use it in Build integrations when you connect upload handlers, agent tools, or backend jobs that must detect and anonymize faces automatically.
How do I add face-detection-anonymization-mcp to my agent?
Register https://noon-ai.dyndns-server.com/face-detection-anonymization-mcp as a streamable-http MCP remote in your client configuration and grant the agent access to its tools.