Koskamo

DetectifAI MCP

This official MCP server enables AI assistants to verify speaker identity and detect AI-generated speech. It allows agents to enroll new speakers, verify audio against enrolled profiles, and analyze recordings for synthetic content generation.

Endpoint and access

OAuth sign-in: the first time you connect, your client opens the vendor's own authorization prompt in a browser.

DetectifAI MCP logo, by Detectif.aiOAuth sign-inEndpoint checked 2026-10-26Operated by Detectif.ai
You need:Create an API key in the dashboard firstAuthorization: Bearer <your API key>The key needs the Noesis permission
MCP endpoint (Streamable HTTP)
https://platform.detectif.ai/mcp
Vendor documentation

What you can do with it

  • Check if an audio recording is AI-generated
  • Enroll a new speaker using a voice sample
  • Verify if a caller is a specific enrolled speaker
  • List or delete enrolled speakers

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 detectifai-mcp https://platform.detectif.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 detectifai-mcp --url https://platform.detectif.ai/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable detectifai-mcp in your MCP settings.
Cursor configuration
{
  "mcpServers": {
    "detectifai-mcp": {
      "url": "https://platform.detectif.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": {
    "detectifai-mcp": {
      "type": "streamableHttp",
      "url": "https://platform.detectif.ai/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start detectifai-mcp and inspect its tools.
VS Code configuration
{
  "servers": {
    "detectifai-mcp": {
      "type": "http",
      "url": "https://platform.detectif.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 detectifai-mcp https://platform.detectif.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": {
    "detectifai-mcp": {
      "url": "https://platform.detectif.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": {
    "detectifai-mcp": {
      "serverUrl": "https://platform.detectif.ai/mcp"
    }
  }
}

Let your agent find its tools

Find servers like DetectifAI MCP from your agent. Add Koskamo once to search the index for endpoints, access requirements, and client setup. Public discovery needs no key.

Do you run DetectifAI MCP?

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