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
- 01Enhance images from paths or URLs
- 02Choose among listed Topaz models
- 03Set output dimensions or scale
- 04Automatic upscaling to 2K by default
Use cases
- 01Upscale and sharpen a local photo
- 02Enhance a low-resolution image
- 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.
Tools
1Saved tool list · updated 3w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| image | string | Yes | Local file path (e.g. ~/Photos/image.jpg) or URL to the image. Ask the user for the path if not provided. |
| size | object | No | Output size. {width, height} for exact, {width} or {height} for proportional, {scale} for multiplier. Blank auto-upscales to 2K. |
| size.width | integer | No | |
| size.height | integer | No | |
| size.scale | number | No | |
| model | string | No | Model 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
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
| Before | After |
|---|---|
![]() | ![]() |
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:
| Client | Status |
|---|---|
| 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:
| Model | Type | Best for |
|---|---|---|
| Standard V2 | standard | General photos (default) |
| Low Resolution V2 | standard | Tiny images, thumbnails |
| CGI | standard | Digital art, renders, illustrations |
| High Fidelity V2 | standard | High-quality sources needing upscale |
| Redefine | generative | Creative reinterpretation |
| Recover 3 | generative | Low-res images, old photos |
| Standard MAX | generative | Maximum quality, slower |
| Wonder 2 | generative | Nature photography, portraits, fine detail |
Environment Variables
| Variable | Required | Description |
|---|---|---|
TOPAZ_API_KEY | Yes | Topaz 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
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.

