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MCP live MCP 2025-11-25 streamable-http

Resemble AI

io.github.resemble-ai/resemble-mcp

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

Uptime
100.0%
1 direct probes · 30d
Response
1615ms
last probe
Tools
7
callable
Resources
0
readable
Prompts
0
available
Primary URL
https://mcp.resemble.ai/mcp

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…

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 …

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.

How to use

Add to your Claude Desktop / Cursor / Cline MCP config:

{
  "mcpServers": {
    "resemble_ai": {
      "url": "https://mcp.resemble.ai/mcp",
      "transport": "streamable-http"
    }
  }
}