How to integrate Imgix MCP with Pydantic AI

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Introduction

This guide walks you through connecting Imgix to Pydantic AI 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, add a 5px white border to image through natural language commands.

This guide will help you understand how to give your Pydantic AI 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.

TL;DR

Here's what you'll learn:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Imgix
  • How to attach an MCP Server to a Pydantic AI agent
  • How to stream responses and maintain chat history
  • How to build a simple REPL-style chat interface to test your Imgix workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

  • Type Safety: Built on Pydantic for automatic data validation
  • MCP Support: Native support for Model Context Protocol servers
  • Streaming: Built-in support for streaming responses
  • Async First: Designed for async/await patterns

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.

Supported Tools & Triggers

Tools
Imgix Auto OptimizationTool to apply automatic best-effort image optimizations.
Blend OverlayTool to overlay an image, text, or color onto a base image using imgix blending parameters.
Imgix Blend AlignTool to align the overlay relative to the base image when blending.
Blend Color Over ImageTool to blend a solid color over an image using CSS keyword or hex.
Imgix Blend X PositionTool to position the overlay horizontally on an Imgix-rendered image.
Draw Image BorderTool to draw a border around an image.
Adjust Image BrightnessTool to adjust image brightness.
IMGIX_CHTool to opt in to Client Hints.
Extract Image Color PaletteTool to specify how many colors to return when extracting a color palette.
Adjust Image ContrastTool to adjust image contrast.
IMGIX_CROPTool to control cropping alignment and behavior using Imgix's 'crop' parameter.
IMGIX_CSTool to set or strip output color space/profile on an Imgix image.
IMGIX_DLTool to force asset download.
Adjust Image DPITool to embed DPI (dots-per-inch) metadata for print output on an Imgix-rendered image.
Set Device Pixel RatioTool to set device pixel ratio for an Imgix image.
Imgix URL ExpirationTool to append an expiration parameter to an Imgix URL so it returns 404 after a given time.
IMGIX_FITTool to control how an image fits target dimensions after resizing.
IMGIX_FMTool to choose output file format for the rendered asset.
Force Aspect RatioTool to force a target aspect ratio on an Imgix image.
IMGIX_HTool to set output image height in pixels or as a ratio of the source height.
Adjust Image HighlightsTool to adjust highlight tonal mapping (−100 to 0).
IMGIX_LIST_SOURCESTool to list all Sources for an account.
Set Watermark Base URLTool to set the base URL prepended to the watermark image path.
Watermark Fit ModeTool to set how a watermark fits its target dimensions.
Imgix Mark HeightTool to set watermark height on an Imgix URL in pixels or as a ratio of the watermark source.
IMGIX_MARK_PADTool to set pixel padding between a watermark and the image edge or between tiled watermarks.
Watermark WidthTool to set watermark width.
IMGIX_MASKTool to apply a mask to an image.
IMGIX_MAX_HTool to limit output image height.
IMGIX_MAX_WTool to set the maximum output width on an Imgix URL.
IMGIX_PALETTETool to extract a color palette from an image in CSS or JSON form.
Set CSS Palette PrefixTool to set class-name prefix for CSS palette output.
Set Output QualityTool to set output quality for lossy formats.
IMGIX_RECTTool to select a source-image rectangle region in Imgix before other resizing.
Imgix RotateTool to rotate an image on Imgix.
IMGIX_ROT_TYPETool to control rotation behavior when `rot` is applied.
Text OverlayTool to render a single-line UTF-8 text overlay on an image.
IMGIX_TXT_ALIGNTool to align a text overlay on an Imgix image.
Set Text ColorTool to set text overlay color on an Imgix image.
Set Text FontTool to choose font family/style for overlay text.
Set Text Outline WidthTool to set outline width around overlay text.
Text Outline ColorTool to set outline color for text.
IMGIX_TXT_SHADTool to set text shadow strength for overlay text.
IMGIX_TXT_SIZETool to set text font size in pixels.

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

What is Tool Router?

Composio's Tool Router 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 Tool Router

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

How the Tool Router works

The Tool Router 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

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account with an active API key
  • Basic familiarity with Python and async programming

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
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.

Install dependencies

bash
pip install composio pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Imgix
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your agent to Composio's API
  • USER_ID associates your session with your account for secure tool access
  • OPENAI_API_KEY to access OpenAI LLMs

Import dependencies

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Imgix
  • MCPServerStreamableHTTP connects to the Imgix MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant

Create a Tool Router Session

python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Imgix
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["imgix"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
What's happening:
  • We're creating a Tool Router session that gives your agent access to Imgix tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
imgix_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[imgix_mcp],
    instructions=(
        "You are a Imgix assistant. Use Imgix tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Imgix endpoint
  • The agent uses GPT-5 to interpret user commands and perform Imgix operations
  • The instructions field defines the agent's role and behavior

Build the chat interface

python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Imgix.\n")

while True:
    user_input = input("You: ").strip()
    if user_input.lower() in {"exit", "quit", "bye"}:
        print("\nGoodbye!")
        break
    if not user_input:
        continue

    print("\nAgent is thinking...\n", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Imgix API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Imgix and Pydantic AI:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Imgix
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["imgix"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    imgix_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[imgix_mcp],
        instructions=(
            "You are a Imgix assistant. Use Imgix tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Imgix.\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "bye"}:
            print("\nGoodbye!")
            break
        if not user_input:
            continue

        print("\nAgent is thinking...\n", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You've built a Pydantic AI agent that can interact with Imgix through Composio's Tool Router. With this setup, your agent can perform real Imgix actions through natural language. You can extend this further by:
  • Adding other toolkits like Gmail, HubSpot, or Salesforce
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Imgix for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

How to build Imgix MCP Agent with another framework

OpenAI Agents SDK

OpenAI Agents SDK

Use Imgix MCP with OpenAI Agents SDK

Claude Agent SDK

Claude Agent SDK

Use Imgix MCP with Claude Agent SDK

Google ADK

Google ADK

Use Imgix MCP with Google ADK

LangChain

LangChain

Use Imgix MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use Imgix MCP with Vercel AI SDK

Mastra AI

Mastra AI

Use Imgix MCP with Mastra AI

LlamaIndex

LlamaIndex

Use Imgix MCP with LlamaIndex

CrewAI

CrewAI

Use Imgix MCP with CrewAI

FAQ

What are the differences in Tool Router MCP and Imgix MCP?

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.

Can I use Tool Router MCP with Pydantic AI?

Yes, you can. Pydantic AI 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.

Can I manage the permissions and scopes for Imgix while using Tool Router?

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.

How safe is my data with Composio Tool Router?

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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