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R

Resemble AI

io.github.resemble-ai/resemble-mcp
Resemble AI: deepfake detection, media intelligence, and watermarking actions, plus docs tools.
healthy
status
7
tools exposed
1015ms
connect latency
fb0be280ab51
schema fingerprint

Tools (7)

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
get_detection
Fetch a detection by UUID, polling until it completes (bounded). Use after detect_deepfake when a long job exceeded its wait budget.
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.
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.
detect_watermark
Check whether media at a public HTTPS URL carries a Resemble invisible watermark (audio-first; per-channel verdict for audio).
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).
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.

Endpoint

https://mcp.resemble.ai/mcp
Category: Web & Scraping · Last checked: 2026-07-30T13:59:24Z

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