Topaz MCP

@topazlabs/mcp

AI image enhancement for LLMs. An MCP server that lets Claude and other AI assistants enhance images using Topaz Labs AI models.

Topaz Labs makes AI-powered image and video enhancement software used by photographers, filmmakers, and developers worldwide.

See It in Action

Enhanced with the Wonder 2 model. View interactive comparison →

Quick Start

1. Get an API key

Sign up at developer.topazlabs.com.

2. Add to your MCP client

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS, %APPDATA%\Claude\claude_desktop_config.json on Windows):

{
  "mcpServers": {
    "Topaz Labs": {
      "command": "npx",
      "args": ["-y", "@topazlabs/mcp"],
      "env": {
        "TOPAZ_API_KEY": "<your-api-key>"
      }
    }
  }
}

3. Enhance images

You: "Enhance ~/Desktop/photo.jpg with Wonder 2"

Claude: I'll enhance your photo using Topaz Labs' Wonder 2 model.

\[calls image-enhance tool\]

Note: This tool requires a file path or URL — it cannot process images uploaded directly in the chat. It works best with Claude Cowork, which has file system access. It does not work in Claude Chat mode (no file system access).

Here's your enhanced image -- upscaled and sharpened with improved detail and clarity.

Compatibility

This server uses stdio transport, supported by all major MCP desktop clients:

HTTP streaming transport (for ChatGPT, remote agents, web/mobile clients) is not yet supported but may be added in a future release.

Tool

image-enhance

Send an image, get back an enhanced version. Defaults to Standard V2 and auto-upscales to 2K.

image: "~/Photos/photo.jpg"     # Local path or URL (required)
size: { scale: 2 }              # Optional: exact dims, single dim, or scale factor
model: "Standard V2"            # Optional: defaults to Standard V2

Size options: { width, height } for exact, { width } or { height } for proportional, { scale } for a multiplier. If omitted, images under 2K are auto-upscaled to 2K width.

Models:

Environment Variables

Architecture

src/
  api/        -- Topaz API client, types, model definitions
  lib/        -- Path security, URL fetching utilities
  tools/      -- enhance tool handler
  server.ts   -- MCP server setup and tool registration
  main.ts     -- Entry point (stdio transport)
test/         -- Vitest test suite

Development

npm install
npm run build
npm test

Limitations

• Image only -- video enhancement is not yet supported
• Paid API key required -- sign up at developer.topazlabs.com
• Cloud processing -- images are sent to the Topaz Labs API for enhancement

Contributing

Found a bug or have a feature request? Open an issue on GitHub.

License

MIT -- Topaz Labs