TopazLabs/topaz-mcp

Other

AI image enhancement (upscaling, denoising, sharpening) via Topaz Labs API. Supports 8 models including Standard V2, Wonder 2, Bloom, and Recover 3.

Direct install

Run the underlying MCP server directly — without Agent-CoreX routing.

npx -y topaz-mcp

Agent-CoreX intelligently routes which tools from TopazLabs/topaz-mcp your AI agent actually needs per request — reducing token usage and cost.

agent-corex.json

{
  "mcpServers": {
    "topaz-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "topaz-mcp"
      ]
    }
  }
}

Connect in 2 minutes. Only pay for the tools your agent actually uses.

A collection of reference implementations for the Model Context Protocol (MCP), showcasing its features and SDK usage.

A CLI inspector for the Model Context Protocol that allows running MCP servers and interacting with various tools and resources.

A project related to the Model Context Protocol, potentially involving data processing or context management.

Recommended: intelligent tool routing, lower costs

uvx agent-corex mcp add topaz-mcp

Agent-CoreX selects only the tools your agent needs, cutting token usage by up to 60%.

Use TopazLabs/topaz-mcp directly without routing

npx -y topaz-mcp