io.github.resemble-ai/resemble-mcp

repo:https://github.com/resemble-ai/resemble-mcp

Resemble AI: deepfake detection, media intelligence, and watermarking actions, plus docs tools.

transport:: remote
credential class:: self-provisionable
repo:: https://github.com/resemble-ai/resemble-mcp

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Tools

analyze_media
Analyze media for structured intelligence: transcription, translation, language, speaker info, emotion, scene description, abnormalities, and misinformation analysis. media_type: auto | audio | video | image.
shallow
apply_watermark
Embed an invisible Resemble provenance watermark into media (audio-first) and return the watermarked media URL. strength 0.0-1.0 (image/video only).
shallow
ask_about_detection
Ask a natural-language question about a COMPLETED detection (e.g. 'how confident is the model that this is fake?'). Returns the grounded answer.
shallow
detect_deepfake
Detect whether media (audio, image, or video) at a public HTTPS URL is a deepfake / AI-generated. Polls to completion and returns the verdict label, confidence score, and full result. Optional flags add media intelligence, audio source tracing, visualization, reverse image search (images), out-of-distribution detection, and zero-retention (auto-delete media after analysis). model_type: auto | image | talking_head.
shallow
detect_watermark
Check whether media at a public HTTPS URL carries a Resemble invisible watermark (audio-first; per-channel verdict for audio).
shallow
get_detection
Fetch a detection by UUID, polling until it completes (bounded). Use after detect_deepfake when a long job exceeded its wait budget.
shallow
trace_audio_source
Get the audio source-tracing report for a detection (which AI platform generated the fake audio). Only available when detection ran with audio_source_tracing and labeled the audio fake.
shallow

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