MCP Config for Topazlabs/Topaz-Mcp
MCP Config for Topazlabs/Topaz-Mcp is a verified MCP_CONFIG blueprint on Promptally in Developer Tools & Git optimized for leading AI models. AI image enhancement (upscaling, denoising, sharpening) via the Topaz Labs API, with models such as Standard V2, Wonder 2, Bloom and Recover 3. Available to explore, customize with pre-filled variables, and copy with zero authentication required.
Technical Specifications
| Specification | Value |
|---|---|
| Artifact type | MCP CONFIG (Developer Tools & Git) |
| Compatible engines | Universal / Model Agnostic |
| Input variables | None (pre-filled) |
| Approximate tokens | 36 |
| Source file | mcp.json |
| Access tier | Free public (MIT) |
Pre-Filled Template
{
"mcpServers": {
"topaz-mcp": {
"command": "npx",
"args": [
"-y",
"TopazLabs/topaz-mcp"
]
}
}
}How to use this mcp config
- Review the pre-filled example and source files above.
- Copy the template or download
mcp.json, then use it in your model, IDE, or workflow tool. - Compare your result with the sample output when one is provided.
Frequently Asked Questions
How do I use MCP Config for Topazlabs/Topaz-Mcp?
Open the mcp config on Promptally, review the pre-filled example, then copy the template or download mcp.json and paste it into your model, IDE or workflow tool. MCP Config for Topazlabs/Topaz-Mcp is a static blueprint with no dynamic variables. Copy it and use it as-is.
Is MCP Config for Topazlabs/Topaz-Mcp free?
Yes. MCP Config for Topazlabs/Topaz-Mcp is free to view, copy and download on Promptally without creating an account. It is published under the MIT license.
What variables does MCP Config for Topazlabs/Topaz-Mcp need?
MCP Config for Topazlabs/Topaz-Mcp is a static blueprint with no dynamic variables. Copy it and use it as-is.