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Topaz Labs

Topaz Labs

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github.com/TopazLabsMedia & Design7Updated 36w ago

About Topaz Labs

Topaz Labs is an MCP server for enhancing images through Topaz Labs AI models, aimed at people using AI assistants for image workflows. It accepts a local file path or URL and offers model and output-size options; video enhancement is not supported.

Key features

  1. 01Enhance images from paths or URLs
  2. 02Choose among listed Topaz models
  3. 03Set output dimensions or scale
  4. 04Automatic upscaling to 2K by default

Use cases

  1. 01Upscale and sharpen a local photo
  2. 02Enhance a low-resolution image
  3. 03Apply a model suited to digital art or portraits

MCP support

Exposes the `image-enhance` tool over stdio for MCP clients. It requires `TOPAZ_API_KEY` and supports clients including Claude Cowork, Cursor, Windsurf, VS Code (Copilot), and Zed.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"topaz": {
"command": "npx",
"args": [
"-y",
"@topazlabs/mcp"
],
"env": {
"TOPAZ_API_KEY": "<TOPAZ_API_KEY>"
}
}
}
}
Run commandnpx -y @topazlabs/mcp
Environment variables to set
TOPAZ_API_KEYSecret

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@topazlabs/mcp

Tools

1

Saved tool list · updated 3w ago

ParameterTypeRequiredDescription
imagestringYesLocal file path (e.g. ~/Photos/image.jpg) or URL to the image. Ask the user for the path if not provided.
sizeobjectNoOutput size. {width, height} for exact, {width} or {height} for proportional, {scale} for multiplier. Blank auto-upscales to 2K.
size.widthintegerNo
size.heightintegerNo
size.scalenumberNo
modelstringNoModel name. Defaults to Standard V2 if omitted. Options: Standard V2, Low Resolution V2, CGI, High Fidelity V2, Redefine, Recover 3, Standard MAX, Wonder 2

Details

From the project README

@topazlabs/mcp

npm version npm downloads license

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

BeforeAfter
BeforeAfter

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:

ClientStatus
Claude Cowork✅ (recommended — has file system access)
Claude Desktop (Chat)⚠️ Requires user to provide file paths manually
Cursor✅
Windsurf✅
VS Code (Copilot)✅
Cline✅
Claude Code✅
Zed✅

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:

ModelTypeBest for
Standard V2standardGeneral photos (default)
Low Resolution V2standardTiny images, thumbnails
CGIstandardDigital art, renders, illustrations
High Fidelity V2standardHigh-quality sources needing upscale
RedefinegenerativeCreative reinterpretation
Recover 3generativeLow-res images, old photos
Standard MAXgenerativeMaximum quality, slower
Wonder 2generativeNature photography, portraits, fine detail

Environment Variables

VariableRequiredDescription
TOPAZ_API_KEYYesTopaz Labs API key

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

Comments

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