mcp server
Resemble AI
Resemble AI: deepfake detection, media intelligence, and watermarking actions, plus docs tools.
Description as published by the maintainer. Source
- version 1.1.0
- active
active — Registry entry last updated 2026-06-09.
What this server can do
7 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
analyze_media(url, media_type, structured_json, max_wait_seconds)- Analyze media for structured intelligence: transcription, translation, language, speaker info, emotion, scene description, abnormalities, and misinformation analysis. media_type: auto | audio | video | image. Required: url.
apply_watermark(url, strength, custom_message, max_wait_seconds)- Embed an invisible Resemble provenance watermark into media (audio-first) and return the watermarked media URL. strength 0.0-1.0 (image/video only). Required: url.
ask_about_detection(query, detect_uuid, max_wait_seconds)- Ask a natural-language question about a COMPLETED detection (e.g. 'how confident is the model that this is fake?'). Returns the grounded answer. Required: detect_uuid, query.
detect_deepfake(url, visualize, model_type, max_wait_seconds, run_intelligence, use_ood_detector, use_reverse_search, zero_retention_mode, audio_source_tracing)- 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. Required: url.
detect_watermark(url)- Check whether media at a public HTTPS URL carries a Resemble invisible watermark (audio-first; per-channel verdict for audio). Required: url.
get_detection(uuid, max_wait_seconds)- Fetch a detection by UUID, polling until it completes (bounded). Use after detect_deepfake when a long job exceeded its wait budget. Required: uuid.
trace_audio_source(uuid)- 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. Required: uuid.
Last successful function declaration observed on . Source: https://mcp.resemble.ai/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://mcp.resemble.ai/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| Latest published version | 1.1.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-06-09 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-06-09 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| mcp tools declared | 7 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | mcp.resemble.ai | |
| mcp endpoint status | ok | The server listed 7 functions when asked. | as of probe | mcp.resemble.ai |
Where to get it
This record as data
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GET /api/v1/entries/mcp_server.json