# Topaz MCP Server

> Use this tool when you need to automate Topaz AI task creation and management through APIs. It solves problems related to streamlining AI workflow integration, such as generating tasks and monitoring their status, with two endpoints and models available for input. The tool takes in task requests and returns status updates and pricing information, ideal for use cases requiring efficient AI task management and cost tracking.

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

## Description

Create Topaz AI tasks through RunAPI — 2 endpoints, 2 models — then poll status and check pricing.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b23y3vighs)
- **Repository:** <https://github.com/runapi-ai/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": "runapi-ai-topaz-mcp"
    }
  }
}
```

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