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How to integrate All images ai MCP with Pydantic AI

Connect Pydantic AI to All images ai MCP. List all ai-generated images from this week, check if your all-images.ai api key is valid, and more using natural language, with authentication handled for you.

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Api Key

All-Images.ai is an AI-powered image generation and management platform. It helps you create, search, and organize images effortlessly with advanced AI capabilities.

7 Tools

Introduction

This guide walks you through connecting All images ai to Pydantic AI using the Composio tool router. By the end, you'll have a working All images ai agent that can list generated and downloaded images, delete image generations, set up webhooks, and check your credit balance through natural language commands.

This guide will help you understand how to give your Pydantic AI agent real control over a All images ai account through Composio's All images ai MCP server.

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

Also integrate All images ai with

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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 All images ai
  • 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 All images ai 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 All images ai MCP server, and what's possible with it?

The All Images AI MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your All Images AI account. It provides structured and secure access to your image records, credit balance, account details, and webhook settings, so your agent can review generated images, track downloaded images, check available credits, manage webhooks, and delete image generation batches on your behalf.

  • Automated image tracking: Have your agent list images created automatically for bulk use.
  • Downloaded image review: Let the agent retrieve a list of images downloaded from your All Images AI account.
  • Credit balance checks: Instruct your agent to check how many generation credits remain on your account.
  • Webhook management: Direct your agent to create a webhook destination and retrieve its current details.
  • Image generation cleanup: Have your agent delete image generation batches you no longer need.

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:
  • Python 3.9 or higher
  • A Composio account with an active API key
  • Basic familiarity with Python and async programming
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
  • 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.
3

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 All images ai
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
4

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
5

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 All images ai
  • MCPServerStreamableHTTP connects to the All images ai MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

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 All images ai
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["all_images_ai"],
    )
    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 All images ai 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
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
all_images_ai_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[all_images_ai_mcp],
    instructions=(
        "You are a All images ai assistant. Use All images ai tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the All images ai endpoint
  • The agent uses GPT-5 to interpret user commands and perform All images ai operations
  • The instructions field defines the agent's role and behavior
8

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 All images ai.\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
  • All images ai API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

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 All images ai 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 All images ai
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["all_images_ai"],
    )
    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
    all_images_ai_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[all_images_ai_mcp],
        instructions=(
            "You are a All images ai assistant. Use All images ai 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 All images ai.\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 All images ai through Composio's Tool Router. With this setup, your agent can perform real All images ai 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 + All images ai for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
TOOLS

Supported Tools

Every All images ai action and event your agent gets out of the box.

Check API Key

Validates the current API key and retrieves associated account information.

Create webhook endpoint

Tool to add a webhook endpoint to an API key.

Delete Image Generations

Tool to delete one or more image generation batches by their print IDs.

Get Credits Balance

Tool to retrieve the current credits balance for your API key.

Get Webhook

Retrieve an existing webhook endpoint by its ID, including its URL and associated API key ID.

List Automated Images

List image generation batches and their images, with optional filtering, sorting and pagination.

List Downloaded Images

Tool to list images that have been downloaded from All-Images.

FRAMEWORKS

How to build All images ai MCP Agent with another framework

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Claude Code

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Claude Cowork

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OpenAI Agents SDK

Use All images ai MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use All images ai MCP with Claude Agent SDK

Codex logo

Codex

Use All images ai MCP with Codex

Kimi Code logo

Kimi Code

Use All images ai MCP with Kimi Code

OpenClaw logo

OpenClaw

Use All images ai MCP with OpenClaw

Hermes logo

Hermes

Use All images ai MCP with Hermes

Atomic Agent logo

Atomic Agent

Use All images ai MCP with Atomic Agent

CLI logo

CLI

Use All images ai MCP with CLI

Google ADK logo

Google ADK

Use All images ai MCP with Google ADK

LangChain logo

LangChain

Use All images ai MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use All images ai MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use All images ai MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use All images ai MCP with LlamaIndex

CrewAI logo

CrewAI

Use All images ai MCP with CrewAI

AutoGen logo

AutoGen

Use All images ai MCP with AutoGen

FAQ

Frequently asked questions

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