Enhances local or remote images through Topaz Labs models, with configurable output sizing and eight model choices.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ or use 1-click editor setup below.
This server is confirmed live โ we successfully called its tools/list endpoint directly (see the verified badge above). We haven't yet sandbox-tested the stdio install command below specifically, which is a separate, ongoing check.
๐ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Topaz MCP.
image-enhanceEnhance an image using Topaz Labs AI. Upscales, sharpens, and improves quality. Accepts a local file path or URL. If the user shares an image in the conversation without providing a path, ask them for the file path or a URL to the original image.
TopazLabs/topaz-mcp MCP server exposes Topaz Labs image enhancement through the Model Context Protocol. An assistant can submit a local image path or URL and receive an enhanced image. The available processing is image-only and runs through Topaz Labs' cloud API, so the source image is sent to that service.
The server supports eight models: Standard V2, Low Resolution V2, CGI, High Fidelity V2, Redefine, Recover 3, Standard MAX, and Wonder 2. These cover general photography, small or low-resolution images, digital art, high-quality source images, creative reinterpretation, old photographs, maximum-quality processing, and nature or portrait detail.
The MCP server uses stdio transport and registers the image-enhance tool. The required image input can be a filesystem path or URL. A request may also include a model and a size object. Size can specify exact width and height, only one dimension for proportional resizing, or a scale multiplier.
If no model is chosen, processing uses Standard V2. If no size is provided, images smaller than 2K are automatically upscaled to 2K width. Images shared directly in a chat are not sufficient by themselves; the assistant needs the original file path or a URL. Clients with filesystem access are therefore better suited to local-image workflows.
To run the TopazLabs/topaz-mcp MCP server, install it through npm when configuring an MCP client:
TOPAZ_API_KEY is required. The key is obtained from the Topaz Labs developer portal. The documented configuration uses stdio, which is supported by Claude Desktop, Cursor, Windsurf, and Cline. Claude Desktop's chat mode requires the user to provide paths manually because it does not provide filesystem access; the README recommends Claude Cowork for local files.
The server exposes one tool:
image-enhance: Enhances an image using a Topaz Labs model. It can upscale, sharpen, and improve image quality from a local path or URL.The tool's model choices include standard and generative options. Standard V2 is the default for general photos, while Low Resolution V2 targets tiny images and thumbnails. CGI is intended for digital art and renders; High Fidelity V2 is for high-quality sources requiring enlargement. Redefine, Recover 3, Standard MAX, and Wonder 2 provide generative processing for creative reinterpretation, older or low-resolution images, maximum quality, and nature photography or portraits respectively.
The TopazLabs/topaz-mcp MCP server requires a paid Topaz Labs API key and sends images to the Topaz Labs API for cloud processing. It does not enhance video. HTTP streaming transport is not currently supported, so clients that require a remote HTTP or web/mobile connection cannot use that transport with this server.
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