AI & Machine Learning

flaq.ai

An AI media generation MCP server that creates and edits images and videos from text or reference images, lists available models, and polls task results.

1 endpoint5 known toolsFirst detected September 14, 2026Last detected September 14, 2026

ENDPOINT 1

https://api.flaq.ai/mcp

No auth detected

MCP server metadata

Name: flaq-openapi-mcp
Version: 1.0.0

Capabilities

tools

Server instructions

Workflow: list_models → submit tool (task_id) → get_task_result (retry) or REST poll. If you already have a task_id, do NOT submit again — call get_task_result. Pass idempotency_key (UUID) on every submit — required to prevent duplicate charges on Agent retry. Without idempotency_key, each submit is charged independently.

Known tools 5

image_to_image

Edit or transform an existing image using a text prompt and reference image.

Potential side effects

text_to_image

Generate an image from a text prompt.

Inferred read-only

list_models

List available AI models and supported tools.

Inferred read-only

get_task_result

Poll for the result of a submitted image/video generation task.

Inferred read-only

generate_video

Generate a video from text prompt (text-to-video) or from an image + prompt (image-to-video).

Inferred read-only

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.

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.