AV女優判定AI MCP MCP server

This MCP server provides tools for searching adult video databases and identifying actresses from images. It allows AI assistants to query titles, catalog numbers, and manufacturers, and uses a similarity engine to return candidate actresses based on image analysis, requiring human-issued authentication codes for the identification tool to prevent automated abuse.

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 FANZA

MCP endpoint (Streamable HTTP)

https://ai-for-av.com/mcp

Vendor documentation

What you can do with it

Search for works by title, catalog number, or actress name
Identify actresses in images using similarity matching
Retrieve links to actress profiles and product pages

Tools advertised by the last live check:

identify_actress
search

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 av-ai-mcp https://ai-for-av.com/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 av-ai-mcp --url https://ai-for-av.com/mcp

Cursor

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

Cursor configuration

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

VS Code

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

VS Code configuration

{
  "servers": {
    "av-ai-mcp": {
      "type": "http",
      "url": "https://ai-for-av.com/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 av-ai-mcp https://ai-for-av.com/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": {
    "av-ai-mcp": {
      "url": "https://ai-for-av.com/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": {
    "av-ai-mcp": {
      "serverUrl": "https://ai-for-av.com/mcp"
    }
  }
}

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