How to integrate Imgix MCP with OpenAI Agents SDK

This guide walks you through connecting Imgix to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Imgix agent that can auto-optimize all images in this folder, overlay company logo on product photos, extract main color palette from image through natural language commands. This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Imgix account through Composio's Imgix MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Imgix is a real-time image processing and delivery service for developers. It helps you optimize, transform, and deliver images efficiently at any scale.

53 Tools

Introduction

This guide walks you through connecting Imgix to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Imgix agent that can auto-optimize all images in this folder, overlay company logo on product photos, extract main color palette from image through natural language commands.

This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Imgix account through Composio's Imgix MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Imgix with

Claude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the necessary dependencies
  • Initialize Composio and create a Tool Router session for Imgix
  • Configure an AI agent that can use Imgix as a tool
  • Run a live chat session where you can ask the agent to perform Imgix operations

What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.

Key features include:

  • Hosted MCP Tools: Connect to external services through hosted MCP endpoints
  • SQLite Sessions: Persist conversation history across interactions
  • Simple API: Clean interface with Agent, Runner, and tool configuration
  • Streaming Support: Real-time response streaming for interactive applications

What is the Imgix MCP server, and what's possible with it?

The Imgix MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Imgix account. It provides structured and secure access to your image library, so your agent can perform actions like optimizing images, applying overlays, adjusting visual properties, and extracting color palettes on your behalf.

  • Real-time image optimization: Ask your agent to automatically compress, enhance, or format images for faster delivery and better quality using Imgix's auto optimization tools.
  • Dynamic overlays and blending: Direct the agent to blend images, text, or solid colors over your base images—perfect for watermarks, banners, or creative composites.
  • Precision image adjustments: Have your agent modify image brightness, contrast, and border settings to meet your design and branding needs instantly.
  • Extract and analyze color palettes: Let your agent pull color palettes from any image, making it easy to generate theme colors or analyze brand consistency.
  • Fine-tune overlay positioning: Control exactly where overlays appear on your images by specifying alignment and pixel-level positioning through your agent.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Composio API Key and OpenAI API Key
  • Primary know-how of OpenAI Agents SDK
  • A live Imgix project
  • Some knowledge of Python or Typescript
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
3

Install dependencies

npm install @composio/openai-agents @openai/agents dotenv

Install the Composio SDK and the OpenAI Agents SDK.

4

Set up environment variables

bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com

Create a .env file and add your OpenAI and Composio API keys.

5

Import dependencies

import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
What's happening:
  • You're importing all necessary libraries.
  • The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Imgix.
6

Set up the Composio instance

dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
What's happening:
  • dotenv.config() loads your .env file so COMPOSIO_API_KEY and USER_ID are available as environment variables.
  • Creating a Composio instance using the API Key and OpenAIAgentsProvider class.
7

Create a Tool Router session

// Create Tool Router session for Imgix
const session = await composio.create(userId as string, {
  toolkits: ['imgix'],
});
const mcpUrl = session.mcp.url;

What is happening:

  • You give the Tool Router the user id and the toolkits you want available. Here, it is only imgix.
  • The router checks the user's Imgix connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Imgix.
  • This approach keeps things lightweight and lets the agent request Imgix tools only when needed during the conversation.
8

Configure the agent

// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Imgix. Help users perform Imgix operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
What's happening:
  • We're creating an Agent instance with a name, model (gpt-5), and clear instructions about its purpose.
  • The agent's instructions tell it that it can access Imgix and help with queries, inserts, updates, authentication, and fetching database information.
  • The tools array includes a hostedMcpTool that connects to the MCP server URL we created earlier.
  • The headers object includes the Composio API key for secure authentication with the MCP server.
  • requireApproval: 'never' means the agent can execute Imgix operations without asking for permission each time, making interactions smoother.
9

Start chat loop and handle conversation

// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
What's happening:
  • The program prints a session URL that you visit to authorize Imgix.
  • After authorization, the chat begins.
  • Each message you type is processed by the agent using run().
  • The responses are printed to the console.
  • Typing exit, quit, or q cleanly ends the chat.

Complete Code

Here's the complete code to get you started with Imgix and OpenAI Agents SDK:

import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['imgix'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Imgix. Help users perform Imgix operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});

Conclusion

This was a starter code for integrating Imgix MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Imgix.

Key features:

  • Hosted MCP tool integration through Composio's Tool Router
  • SQLite session persistence for conversation history
  • Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.
TOOLS

Supported Tools

Every Imgix action and event your agent gets out of the box.

IMGIX_ADD_ASSET_FROM_ORIGIN

Tool to queue a path from your origin to be added to the Asset Manager.

Imgix Auto Optimization

Apply automatic image optimizations using imgix's auto parameter.

Blend Overlay

Tool to overlay an image, text, or color onto a base image using imgix blending parameters.

Imgix Blend Align

Tool to align the overlay relative to the base image when blending.

Blend Color Over Image

Tool to blend a solid color over an image using CSS keyword or hex.

Imgix Blend X Position

Position an overlay image horizontally on a base image using imgix's blend-x parameter.

Draw Image Border

Tool to draw a border around an image.

Adjust Image Brightness

Tool to adjust image brightness.

IMGIX_CANCEL_UPLOAD_SESSION

Tool to cancel an Imgix Asset Manager upload session.

IMGIX_CH

Tool to opt in to Client Hints.

IMGIX_CLOSE_UPLOAD_SESSION

Tool to close an Imgix Asset Manager upload session after the client uploads to the presigned URL.

Adjust Image Contrast

Tool to adjust image contrast.

IMGIX_CREATE_IMGIX_SOURCE

Tool to create and deploy a new imgix Source.

IMGIX_CREATE_UPLOAD_SESSION

Tool to create an Imgix Asset Manager upload session and return a presigned URL for client-side upload.

IMGIX_CS

Tool to set or strip output color space/profile on an Imgix image.

IMGIX_DL

Download an asset from an Imgix source with optional custom filename.

Adjust Image DPI

Tool to embed DPI (dots-per-inch) metadata for print output on an Imgix-rendered image.

Set Device Pixel Ratio

Tool to set device pixel ratio for an Imgix image.

Imgix URL Expiration

Tool to append an expiration parameter to an Imgix URL so it returns 404 after a given time.

IMGIX_FIT

Tool to control how an image fits target dimensions after resizing.

IMGIX_FM

Tool to choose output file format for the rendered asset.

Force Aspect Ratio

Tool to force a target aspect ratio on an Imgix image.

IMGIX_GET_SOURCE

Tool to retrieve details for a single imgix Source by its ID.

IMGIX_GET_UPLOAD_SESSION_STATUS

Tool to retrieve the status of an Imgix Asset Manager upload session.

IMGIX_H

Tool to set output image height in pixels or as a ratio of the source height.

Adjust Image Highlights

Tool to adjust highlight tonal mapping (−100 to 0).

IMGIX_LIST_ASSETS

Tool to retrieve a paginated list of assets in an imgix Source.

IMGIX_LIST_REPORTS

Tool to retrieve a list of all available reports for your imgix account.

IMGIX_LIST_SOURCES

Tool to list all Sources for an account.

Set Watermark Base URL

Tool to set the base URL prepended to the watermark image path.

Watermark Fit Mode

Tool to set how a watermark fits its target dimensions.

Imgix Mark Height

Tool to set watermark height on an Imgix URL in pixels or as a ratio of the watermark source.

IMGIX_MARK_PAD

Tool to set pixel padding between a watermark and the image edge or between tiled watermarks.

Watermark Width

Tool to set watermark width.

IMGIX_MASK

Tool to apply a mask to an image.

IMGIX_MAX_H

Constrain the maximum height of an imgix image.

IMGIX_MAX_W

Tool to set the maximum output width on an Imgix URL.

IMGIX_PALETTE

Tool to extract a color palette from an image in CSS or JSON form.

Set CSS Palette Prefix

Tool to set class-name prefix for CSS palette output.

IMGIX_PURGE_ASSET

Tool to purge an asset from the imgix cache.

Set Output Quality

Tool to set output quality for lossy formats.

IMGIX_RECT

Tool to select a source-image rectangle region in Imgix before other resizing.

Imgix Rotate

Tool to rotate an image on Imgix.

IMGIX_ROT_TYPE

Tool to control rotation behavior when `rot` is applied.

Text Overlay

Tool to render a single-line UTF-8 text overlay on an image.

IMGIX_TXT_ALIGN

Tool to align a text overlay on an Imgix image.

Set Text Color

Tool to set text overlay color on an Imgix image.

Set Text Font

Tool to choose font family/style for overlay text.

Set Text Outline Width

Tool to set outline width around overlay text.

Text Outline Color

Apply an outline color to text overlays on Imgix images.

IMGIX_TXT_SHAD

Set text shadow strength for imgix text overlays.

IMGIX_TXT_SIZE

Tool to set text font size in pixels.

IMGIX_UPDATE_SOURCE

Tool to update an existing imgix Source.

FRAMEWORKS

How to build Imgix MCP Agent with another framework

Claude Agent SDK logo

Claude Agent SDK

Use Imgix MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Imgix MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Imgix MCP with Claude Cowork

Codex logo

Codex

Use Imgix MCP with Codex

OpenClaw logo

OpenClaw

Use Imgix MCP with OpenClaw

Hermes logo

Hermes

Use Imgix MCP with Hermes

CLI logo

CLI

Use Imgix MCP with CLI

Google ADK logo

Google ADK

Use Imgix MCP with Google ADK

LangChain logo

LangChain

Use Imgix MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Imgix MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Imgix MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Imgix MCP with LlamaIndex

CrewAI logo

CrewAI

Use Imgix MCP with CrewAI

FAQ

Frequently asked questions

With a standalone Imgix MCP server, the agents and LLMs can only access a fixed set of Imgix tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Imgix and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. OpenAI Agents SDK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Imgix tools.

Yes, absolutely. You can configure which Imgix scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Imgix data and credentials are handled as safely as possible.

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Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

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Abhi Arya
Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

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CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

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Ryan Yu
Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

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Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

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Co-Founder, Ingram Technologies