Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"topaz": {
"env": {
"RUNAPI_API_KEY": "${RUNAPI_API_KEY}"
},
"args": [
"-y",
"@runapi.ai/topaz-mcp"
],
"command": "npx"
}
}
}Are you the author?
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@runapi.ai/topaz-mcp is a focused Model Context Protocol server for the Topaz model line on RunAPI. It gives MCP-compatible assistants direct access to 2 endpoints and 2 model variants without loading the full RunAPI catalog.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y '@runapi.ai/topaz-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
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Topaz API access for AI agents: create image and video generation tasks, poll results, and check pricing through one focused MCP server.
Works with Claude Code, Codex, Cursor, Windsurf, VS Code, Roo Code, and any MCP-compatible host.
Install | Tools | Models | Agent Prompts | Configuration | Links
@runapi.ai/topaz-mcp is a focused Model Context Protocol server for the Topaz model line on RunAPI.
It gives MCP-compatible assistants direct access to 2 endpoints and 2 model variants without loading the full RunAPI catalog.
Use this per-model server when an agent should stay scoped to Topaz. Use @runapi.ai/mcp when one assistant should discover every RunAPI model line.
Add it to Claude Code:
claude mcp add topaz -s user -- npx -y @runapi.ai/topaz-mcp
Use project scope when the server should be shared with a repository:
claude mcp add topaz -s project -- npx -y @runapi.ai/topaz-mcp
Codex, Cursor, Windsurf, VS Code, Roo Code, and other MCP hosts can use the same stdio command:
{
"mcpServers": {
"topaz": {
"command": "npx",
"args": ["-y", "@runapi.ai/topaz-mcp"],
"env": { "RUNAPI_API_KEY": "${RUNAPI_API_KEY}" }
}
}
}
Create an API key at runapi.ai and expose it as RUNAPI_API_KEY. check_pricing can run without a key; task creation and status polling require one.
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, output URLs, and pricing snapshot. |
upscale_video | Yes | Create a Topaz upscale video task and optionally wait for a terminal status. Returns the task id, status, output URLs, and pricing snapshot. |
get_task | Yes | Fetch the current status and latest payload for an existing task. |
check_pricing | No | Look up the current pricing snapshot for a Topaz model and endpoint. |
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.
Ask your assistant in natural language; it can inspect pricing, create the task, and return the task id plus output URLs.
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.
Create the task but don't wait for it to finish.
The assistant calls the creat