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Overview

Use the Image MCP server from your ATXP-powered agent to create images based on a prompt.

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Example prompts

  • “Create an image of a cat riding a horse. Use a realistic style.”
  • “Create a coloring page of a child and a puppy.”

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Tools

Takes in a prompt. The output will be a URL to an image generated from the prompt. The image will be stored in the cloud and will expire in 180 days.

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Arguments

Accepts a JSON object with the following properties:
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prompt
string
required
The natural-language prompt to use to generate the image.

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Response

Returns a JSON object with the following properties:
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status
string
The status of the image generation operation. Returns “success” when the image is generated successfully.
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url
string
The URL that the image is accessible at for 1 day.
Takes in a prompt and starts asynchronous image generation. Returns a task ID that can be used to check status and retrieve the result. The image will be stored in the cloud and will expire in 180 days.

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Arguments

Accepts a JSON object with the following properties:
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prompt
string
required
The natural-language prompt to use to generate the image.

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Response

Returns a JSON object with the following properties:
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taskId
string
A unique task identifier that can be used with image_get_image_async to check the status and retrieve the result.
Retrieves the status and result of an asynchronous image generation task using the task ID. Tasks expire after 12 hours.

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Arguments

Accepts a JSON object with the following properties:
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taskId
string
required
The task ID returned from image_create_image_async.

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Response

Returns a JSON object with the following properties:
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status
string
The current status of the task. Can be “pending”, “processing”, “completed”, or “failed”.
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url
string
The URL that the image is accessible at for 180 days. Only present when status is “completed”.

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Usage

1

Define the Image service

Create a reusable service configuration that points to the MCP server and standardizes how you pass arguments and read results. This lets your agent easily interact with the Image tools in a consistent manner.
const imageService = {
    mcpServer: 'https://image.mcp.atxp.ai/',
    createImageToolName: 'image_create_image',
    createImageAsyncToolName: 'image_create_image_async',
    getImageAsyncToolName: 'image_get_image_async',
    description: 'ATXP Image MCP server',
    getArguments: (prompt: string) => ({ prompt }),
    getResult: (result: any) => {
      const jsonResult = result.content[0].text;
      const parsed = JSON.parse(jsonResult);
      return { status: parsed.status, url: parsed.url };
    },
    getAsyncCreateResult: (result: any) => {
      const jsonResult = result.content[0].text;
      const parsed = JSON.parse(jsonResult);
      return { taskId: parsed.taskId };
    },
    getAsyncStatusResult: (result: any) => {
      const jsonResult = result.content[0].text;
      const parsed = JSON.parse(jsonResult);
      return { status: parsed.status, url: parsed.url };
    }
  };
2

Create an ATXP client

  • Using an ATXP account
  • Using a Base account
  • Using a Solana account
  • Using a Worldchain account
  • Using a Polygon account
Create a client using an ATXP account by importing the ATXP client SDK and other dependencies.
// Import the ATXP client SDK
import { atxpClient, ATXPAccount } from '@atxp/client';

// Read the ATXP account details from environment variables
const atxpConnectionString = process.env.ATXP_CONNECTION;

// Create a client using the `atxpClient` function
const client = await atxpClient({
  mcpServer: imageService.mcpServer,
  account: new ATXPAccount(atxpConnectionString),
});
3

Use the Image service in your agent

  • Synchronous Generation
  • Asynchronous Generation
Call the Image tool by passing your natural-language instruction as the argument the getArguments method.Read the response using the getResult method.
const prompt = "Create an image of a cat riding a horse. Use a realistic style.";

try {
  const result = await client.callTool({
      name: imageService.createImageToolName,
      arguments: imageService.getArguments(prompt),
  });
  const { status, url } = imageService.getResult(result);
  console.log('Status:', status);
  console.log('URL:', url);
} catch (error) {
  console.error(`Error with ${imageService.description}:`, error);
  process.exit(1);
}
You should see the result of the image creation printed in your console.
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