RunAPI Topaz MCP Server
Topaz API access for AI agents: run image and video generation operations, poll asynchronous results, and check pricing through one focused MCP server.
Works with Claude Code, Codex, Cursor, Windsurf, VS Code, Roo Code, and any MCP-compatible host.
Install |
Tools |
Models |
Agent Prompts |
Configuration |
Links
Why This Package?
@runapi.ai/topaz-mcp is a focused Model Context Protocol server for the Topaz model line on RunAPI.
It gives MCP-compatible assistants direct access to 2 endpoints and 2 model variants without loading the full RunAPI catalog.
Use this per-model server when an agent should stay scoped to Topaz. Use @runapi.ai/mcp when one assistant should discover every RunAPI model line.
Install
Add it to Claude Code:
claude mcp add topaz -s user -- npx -y @runapi.ai/topaz-mcp
Use project scope when the server should be shared with a repository:
claude mcp add topaz -s project -- npx -y @runapi.ai/topaz-mcp
Codex, Cursor, Windsurf, VS Code, Roo Code, and other MCP hosts can use the same stdio command:
{
"mcpServers": {
"topaz": {
"command": "npx",
"args": ["-y", "@runapi.ai/topaz-mcp"]
}
}
}
check_pricing works before sign-in. For task creation and status polling, ask your assistant to call the login tool. It opens a browser login and saves credentials to ~/.config/runapi/config.json, the same file used by runapi login.
Headless and CI hosts can still set RUNAPI_API_KEY before starting the MCP host.
Ready-made examples are in examples/ for Claude, Cursor, Windsurf, VS Code, and Roo Code.
| Tool | Auth | Purpose |
|---|
upscale_image | Yes | Create a Topaz upscale image task and optionally wait for a terminal status. Returns the task id, status, and output URLs. |
upscale_video | Yes | Create a Topaz upscale video task and optionally wait for a terminal status. Returns the task id, status, and output URLs. |
get_task | Yes | Fetch the current status and latest payload for an existing task. |
check_pricing | No | Look up current pricing for a Topaz model and endpoint. |
Models
Topaz covers 2 model variants across 2 endpoints. Each tool accepts the models listed for it:
| Tool | Models |
|---|
upscale_image | topaz-upscale-image |
upscale_video | topaz-upscale-video |
Model availability can change between releases. Use check_pricing or the Topaz model page for the current catalog view.
Agent Prompts
Ask your assistant in natural language; it can inspect pricing, create the task, and return the task id plus output URLs.
Create a task
Run a Topaz upscale image task with RunAPI.
The assistant can call check_pricing, then upscale_image, and return the task id, status, and output URLs.
Submit without waiting
Create the task but don't wait for it to finish.
The assistant calls the create tool with wait: false and returns the task id. Check on it later with get_task.
Check pricing before creating
Check current Topaz pricing, then create the task if it matches my request.
The assistant calls check_pricing and can link to the Topaz model page for the canonical catalog entry.
Configuration
The server resolves auth in this order:
RUNAPI_API_KEY environment variable, useful for headless and CI hosts~/.config/runapi/config.json, created by the MCP login tool or runapi login- No key, which still allows
check_pricing
The config file is normally managed by login. A pre-provisioned headless config can use:
{
"apiKey": "your_runapi_key"
}
Do not commit real API keys.
Links
License
Licensed under the Apache License, Version 2.0.