# @topazlabs/mcp

> Use this tool when you need to enhance images using AI models, particularly for applications involving large language models (LLMs) like Claude. It solves problems related to image quality improvement, allowing for more accurate and detailed visual outputs. The tool takes images as input and outputs enhanced versions, making it ideal for use cases where visual fidelity is crucial.

Canonical page: https://skillsregistry.net/skills/topazlabs-topaz-mcp  
JSON: https://api.skillsregistry.net/v1/skills/topazlabs-topaz-mcp

## Description

AI image enhancement for LLMs. An MCP server that lets Claude and other AI assistants enhance images using Topaz Labs AI models.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bi8cx2ooce)
- **Repository:** <https://github.com/TopazLabs/topaz-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "topazlabs-topaz-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/topazlabs-topaz-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/topazlabs-topaz-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt