mcp.film / Upscaling & Enhancement / Topaz Labs MCP
Topaz Labs MCP
Official Topaz Labs MCP — enhance and upscale images with Topaz AI models.
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 mcp add topaz -e TOPAZ_API_KEY=YOUR_KEY -- npx -y @topazlabs/mcp
{
"mcpServers": {
"topaz": {
"command": "npx",
"args": [
"-y",
"@topazlabs/mcp"
],
"env": {
"TOPAZ_API_KEY": "YOUR_KEY_HERE"
}
}
}
}
{
"mcpServers": {
"topaz": {
"command": "npx",
"args": [
"-y",
"@topazlabs/mcp"
],
"env": {
"TOPAZ_API_KEY": "YOUR_KEY_HERE"
}
}
}
}
TOPAZ_API_KEY — https://developer.topazlabs.com/
Tools you'll see
image-enhanceField 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).
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