# Topaz Labs MCP

> Official Topaz Labs MCP — enhance and upscale images with Topaz AI models.

- **Category:** Upscaling & Enhancement
- **Vendor:** Topaz Labs (official)
- **Pricing:** credits
- **Verified:** 2026-06-11

## What it does

Topaz Labs' own MCP server: send an image, get back an enhanced/upscaled version using 9 Topaz models (Standard V2, Wonder 2, Recover 3, and more), defaulting to auto-upscale to 2K. The official path to Topaz-grade enhancement for stills, plates, and frames in an agent pipeline.

## Connect

- Claude Code: `claude mcp add topaz -e TOPAZ_API_KEY=YOUR_KEY -- npx -y @topazlabs/mcp`
- Local: `npx -y @topazlabs/mcp`

**Auth:** api_key (env `TOPAZ_API_KEY`) — https://developer.topazlabs.com/

## Capabilities

`upscaling` · `image-enhancement` · `denoise` · `restoration`

## Sample tools

`image-enhance`

## Field notes

Official but brand new, MIT, TypeScript. IMAGE ONLY for now — the README says video is 'not yet supported' via MCP even though Topaz's developer API covers Video AI, Photo AI, and Gigapixel. For Topaz VIDEO upscaling today, use the Topaz models hosted on fal.ai via the fal MCP. Needs a filesystem-capable client (Claude Code, not Claude web chat).

## Links

- Site: https://www.topazlabs.com/api
- Docs: https://developer.topazlabs.com/
- Repo: https://github.com/TopazLabs/topaz-mcp

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Structured data: https://mcp.film/api/mcps/topaz.json · Directory: https://mcp.film