Resemble AI MCP MCP server

An official MCP server by Resemble AI that exposes its media intelligence and deepfake detection products as callable tools for AI agents. It allows agents to detect deepfakes in audio, image, and video, trace audio sources, analyze media for transcripts and emotions, apply and detect watermarks, and investigate AI-generated content or bot traffic on websites.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-05Operated by Resemble AI

MCP endpoint (Streamable HTTP)

https://mcp.resemble.ai/mcp

Vendor documentation

What you can do with it

Detect if audio, image, or video is a deepfake
Trace the source platform of fake audio
Apply invisible watermarks to media files
Investigate if website visitors are AI agents

Tools advertised by the last live check:

detect_deepfake
get_detection
detect_ai_text
get_text_detection
analyze_media
ask_about_detection
detect_watermark
apply_watermark
trace_audio_source
list_detect_agents
run_detect_agent_investigation
get_detect_agent_run
agent_detection_list_sites
agent_detection_create_site
agent_detection_update_site
agent_detection_get_analytics
agent_detection_list_sessions
agent_detection_get_session

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http resemble-ai-mcp https://mcp.resemble.ai/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add resemble-ai-mcp --url https://mcp.resemble.ai/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable resemble-ai-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "resemble-ai-mcp": {
      "url": "https://mcp.resemble.ai/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "resemble-ai-mcp": {
      "type": "streamableHttp",
      "url": "https://mcp.resemble.ai/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start resemble-ai-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "resemble-ai-mcp": {
      "type": "http",
      "url": "https://mcp.resemble.ai/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http resemble-ai-mcp https://mcp.resemble.ai/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "resemble-ai-mcp": {
      "url": "https://mcp.resemble.ai/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "resemble-ai-mcp": {
      "serverUrl": "https://mcp.resemble.ai/mcp"
    }
  }
}

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