← flaq.ai

INDIVIDUAL MCP TOOL

text_to_image

Generate an image from a text prompt.

flaq.ainone authenticationAvailability not checked

LIVE ENDPOINT

https://api.flaq.ai/mcp

No auth detected

Connect to this endpoint to inspect the live schema for text_to_image and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

  • No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

flaq.ai

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.flaq-openapi-mcp]
url = "https://api.flaq.ai/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "flaq-openapi-mcp": {
      "type": "http",
      "url": "https://api.flaq.ai/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: flaq-openapi-mcp
Remote MCP URL: https://api.flaq.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "flaq-openapi-mcp": {
      "url": "https://api.flaq.ai/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "flaq-openapi-mcp": {
      "type": "http",
      "url": "https://api.flaq.ai/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "flaq-openapi-mcp",
  "transport": "streamable-http",
  "url": "https://api.flaq.ai/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

  • image_to_image — Edit or transform an existing image using a text prompt and reference image.
  • list_models — List available AI models and supported tools.
  • get_task_result — Poll for the result of a submitted image/video generation task.
  • generate_video — Generate a video from text prompt (text-to-video) or from an image + prompt (image-to-video).