mcpbeat

Resemble AI MCP Server

io.github.resemble-ai/resemble-mcp
answering

Resemble AI is answering right now. Last checked 6 min ago. It exposes 7 tools. Last commit 10 Jun 2026.

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

Uptime history 40 hours of history · worst hour 43%
40 hours agonow
50.0%
Uptime 24h
91 of 182 checks
7
Tools
read from the server
338 ms
Response time
average over 24h
0
Stars
last commit 10 Jun 2026

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 6 min ago.

run in your terminal
claude mcp add resemble-mcp --transport http https://mcp.resemble.ai/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "resemble-mcp": {
      "url": "https://mcp.resemble.ai/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.resemble-mcp]
url = "https://mcp.resemble.ai/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "resemble-mcp": {
      "url": "https://mcp.resemble.ai/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "resemble-mcp": {
      "url": "https://mcp.resemble.ai/mcp"
    }
  }
}

Available tools 7

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

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

Endpoints

URLTransportStateLatencyChecked
https://mcp.resemble.ai/mcp streamable-http answering 657 ms 6 min ago
https://mcp.resemble.ai/sse sse answering 298 ms 6 min ago

Resemble AI — questions

Answers built from our own checks of this server.

What can Resemble AI do?
It exposes 7 tools, read directly from the server on our last check. Among them: analyze_media, apply_watermark, ask_about_detection, detect_deepfake, detect_watermark, get_detection and 1 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Resemble AI working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 182 checks got a reply (50.0%), average response time 338 ms. The bar chart above shows every period we have measured.
How do I connect Resemble AI?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Resemble AI need an API key?
No. Resemble AI completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 7 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Resemble AI?
It answers our handshake in 338 ms on average, which is faster than 41% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Resemble AI open source?
Yes — it is published under the MIT licence, written in Python and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.