Integration

Getimg.ai integration

AI image generation and editing API with multiple model options. Generate images from text, edit existing images, inpaint masked regions, upscale resolution, fix faces, and access specialized models including Stable Diffusion XL, FLUX.1 schnell, Seedream 4, and Essential V2. Perfect for building creative tools, e-commerce applications, and automated image generation pipelines.

Ask it in chat

Say what should happen.
The workflow builds itself.

When this happens, do that in Getimg.ai.Built from the 11 Getimg.ai tools below, on the connection you add once.

Common Getimg.ai use cases

  • Product design variants
  • Composition preservation
  • Model discovery
  • Photo style transfer
  • Fast image prototyping
  • Custom AI art generation
  • Credit balance monitoring
  • Object removal and insertion
  • Model capability verification
  • Quick styled image generation

What you can do with Getimg.ai

Each of these is one operation on one endpoint, available both as a workflow step and as a tool an AI agent can call on its own. Nothing bundles several operations into one action, so what a run did stays readable afterwards.

Most endpoints run on the free plan. A few, mainly the ones that publish on your behalf, need a paid plan.

Image, 8 operations

  • controlnetControlnetPOSTGenerates images with precise structural control using ControlNet conditioning methods.
  • essential_text_to_imageEssential text to imagePOSTGenerates images using Essential V2 model with style presets and aspect ratio control.
  • flux_text_to_imageFlux text to imagePOSTGenerates high-quality images using Black Forest Labs' FLUX.1 schnell model for fast inference.
  • image_to_imageImage to imagePOSTTransforms existing images using text prompts while preserving composition and structure.
  • inpaintInpaintPOSTFills masked regions in images with AI-generated content using text prompt guidance.
  • ip_adapterIp adapterPOSTGenerates images using IP Adapter with a reference image for style and composition guidance.
  • seedream_text_to_imageSeedream text to imagePOSTGenerates high-quality images using the Seedream 4.0 model with aspect ratio control.
  • text_to_imageText to imagePOSTGenerates images from text prompts using Stable Diffusion XL with extensive customization options.

Model, 2 operations

  • get_modelGet modelGETRetrieves details for a specific AI model by its unique ID.
  • get_modelsGet modelsGETRetrieves list of available AI models with filtering by family and pipeline type.

Account, 1 operation

  • get_balanceGet balanceGETRetrieves current account balance based on the authenticated API key.

Use Getimg.ai from Claude Code, Cursor or Codex

Connect Getimg.ai in LiveContext, create an API key in Settings, then add the LiveContext MCP server to your client. Its Getimg.ai operations become tools the client can call, next to every other integration you connected.

Claude Code
claude mcp add --transport http livecontext https://livecontext.ai/mcp --header "X-API-Key: YOUR_API_KEY"
Codex (~/.codex/config.toml)
[mcp_servers.livecontext]
url = "https://livecontext.ai/mcp"

[mcp_servers.livecontext.http_headers]
"X-API-Key" = "YOUR_API_KEY"
Cursor, Claude Desktop and other JSON configs
{
  "mcpServers": {
    "livecontext": {
      "type": "http",
      "url": "https://livecontext.ai/mcp",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}

Set up the MCP server step by step

How to connect Getimg.ai

  1. Create your workspace

    Sign up free. Nothing to install.

  2. Connect Getimg.ai once

    Add your Getimg.ai connection in Settings. Every tool from this integration reuses it, and secrets are encrypted at rest and visible only to you.

  3. Describe the job in chat

    The workflow builds itself in front of you and picks the endpoints it needs. Drag the steps yourself on the canvas whenever you would rather be explicit.

Getimg.ai integration FAQ

What can you do with the Getimg.ai integration?

LiveContext exposes 11 operations on Getimg.ai, covering image, model and account. Common uses include Product design variants, Composition preservation and Model discovery.

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