"Hugging Face" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Automatic image/video face detection, blur/redaction, and de-identification by NoonAI DIS.
Fact-check claims against independent sources — fast verdict or deep multi-step investigation.
AceDataCloud Face Transform MCP: keypoints, beautify, age/gender, swap, cartoon, liveness
Automatic people de-identification, face blur, and masking by NoonAI DIS.
Automatic privacy object anonymize, face masking, and de-identification by NoonAI DIS.
Automatic video mosaic, face masking, and privacy de-identification by NoonAI DIS.
Automatic face detection, blur/redaction, and de-identification by NoonAI DIS.
Automatic face detection, anonymization, and de-identification by NoonAI DIS.
Automatic face 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.
Persistent memory for AI agents. Semantic search, memory graph, W3C DID identity.
Compare observed BC Ferries fares and dates, read qualified predictions, and manage fare alerts.
Pace is a remote MCP server that exposes wearable and fitness data to Claude via the Model Context Protocol. It connects to Garmin, Oura, Whoop, Polar, Fitbit and 20+ devices and provides 15 tools for querying sleep, activity, recovery, and training data. Hosted on Google Cloud Run, OAuth 2.1 authentication, Streamable HTTP transport. Instructions: First you need to create an account at: https://pacetraining.co and connect your wearables. After that you can connect the remote Server via Custom Connector in Claude and OAuth 2.1 Flow startet.
Image, video, audio, face-swap, talking avatars and chat across 300+ AI models, one balance.
- PrimetaOAuthai.primeta
Give your AI a face, a voice, and a personality. 3D avatars with custom personas.
