# How to integrate Shortpixel MCP with Pydantic AI

```json
{
  "title": "How to integrate Shortpixel MCP with Pydantic AI",
  "toolkit": "Shortpixel",
  "toolkit_slug": "shortpixel",
  "framework": "Pydantic AI",
  "framework_slug": "pydantic-ai",
  "url": "https://composio.dev/toolkits/shortpixel/framework/pydantic-ai",
  "markdown_url": "https://composio.dev/toolkits/shortpixel/framework/pydantic-ai.md",
  "updated_at": "2026-05-12T10:26:03.962Z"
}
```

## Introduction

This guide walks you through connecting Shortpixel to Pydantic AI using the Composio tool router. By the end, you'll have a working Shortpixel agent that can check your remaining shortpixel credits, purge all images from site storage, monitor api key usage status through natural language commands.
This guide will help you understand how to give your Pydantic AI agent real control over a Shortpixel account through Composio's Shortpixel MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Shortpixel with

- [OpenAI Agents SDK](https://composio.dev/toolkits/shortpixel/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/shortpixel/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/shortpixel/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/shortpixel/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/shortpixel/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/shortpixel/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/shortpixel/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/shortpixel/framework/cli)
- [Google ADK](https://composio.dev/toolkits/shortpixel/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/shortpixel/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/shortpixel/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/shortpixel/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/shortpixel/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/shortpixel/framework/crew-ai)

## 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 Shortpixel
- 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 Shortpixel 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 Shortpixel MCP server, and what's possible with it?

The Shortpixel MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your ShortPixel account. It provides structured and secure access to your image optimization tools, so your agent can perform actions like monitoring API usage, purging storage, and managing your ShortPixel resources on your behalf.
- API status monitoring: Instantly check your API key status, including available image optimization credits, so you never run out unexpectedly.
- Bulk storage purging: Direct your agent to purge all files stored on ShortPixel servers for a domain, making large-scale cleanups quick and hassle-free.
- Account usage visibility: Let your agent retrieve up-to-date usage metrics before initiating new optimization tasks or campaigns.
- Automated maintenance workflows: Schedule regular storage purges or status checks, keeping your ShortPixel account organized with minimal manual effort.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `SHORTPIXEL_ADD_CDN_DOMAIN` | Add CDN Domain | Tool to add a new domain to the ShortPixel CDN system and associate it with your API key. Use when you need to register a domain for CDN services. If the domain already exists without a user, it will be associated with your API key. |
| `SHORTPIXEL_BULK_PURGE_STORAGE` | Bulk Purge ShortPixel Storage | Tool to purge all files stored on ShortPixel storage servers for a domain. Use when you need to remove all stored files for a site in bulk. |
| `SHORTPIXEL_CHECK_IMAGE_STATUS` | Check Image Status | Tool to check the optimization status of an image being processed by ShortPixel. Returns current status of queued images including URLs and size information. |
| `SHORTPIXEL_CLEAN_UP_IMAGE` | Clean Up Image | Tool to remove images from the processing queue. Use when you need to optimize another image with the same URL but different contents within the next hour. |
| `SHORTPIXEL_GET_ADAPTIVE_IMAGE_CDN` | Get Adaptive Image via CDN | Tool to optimize images on-the-fly via ShortPixel CDN. Transform images by URL with parameters for width, height, cropping, quality, and format conversion. Returns the optimized image directly without CDN caching. |
| `SHORTPIXEL_GET_API_STATUS` | Get API Status | Tool to retrieve the current status of your API key, including available credits. Use when you need to monitor your account usage before making additional API calls. |
| `SHORTPIXEL_GET_CDN_USAGE` | Get CDN Usage Statistics | Tool to retrieve detailed CDN usage statistics for a domain including traffic, API calls, monthly quota, remaining credits, and historical usage breakdown by date. Use when you need to monitor CDN consumption or check quota status. |
| `SHORTPIXEL_OPTIMIZE_IMAGES_BY_URL` | Optimize Images by URL | Tool to optimize images by providing their URLs. Supports batch processing of up to 100 URLs per request with options for lossy, glossy, or lossless compression, resizing, format conversion (WebP/AVIF), and background removal. Use when you need to compress and optimize images accessible online. |
| `SHORTPIXEL_READ_CDN_DOMAIN` | Read CDN Domain Status | Tool to check the status of a domain and its CDN quota on ShortPixel. Returns a status code indicating credit availability. Use when you need to verify domain accessibility and quota status. |
| `SHORTPIXEL_REVOKE_CDN_DOMAIN` | Revoke CDN Domain | Tool to revoke a domain association from ShortPixel CDN. Only works if the API key belongs to the current domain owner. Use when you need to remove the association between a domain and the user account. |
| `SHORTPIXEL_SET_CDN_DOMAIN` | Set CDN Domain | Tool to associate an API key with an existing domain. Unlike add-domain, this does not create a new domain - it only associates a user ID if not already associated. Use when you need to claim unassociated domains. |
| `SHORTPIXEL_UPLOAD_AND_OPTIMIZE_IMAGES` | Upload and Optimize Images | Tool to upload and optimize images that are not accessible online. Uses multipart form data to upload files directly and applies optimization parameters like compression type, resize options, and format conversion. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Shortpixel MCP server is an implementation of the Model Context Protocol that connects your AI agent to Shortpixel. It provides structured and secure access so your agent can perform Shortpixel operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 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

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

Install the required libraries.
What's happening:
- composio connects your agent to external SaaS tools like Shortpixel
- pydantic-ai lets you create structured AI agents with tool support
- python-dotenv loads your environment variables securely from a .env file
```bash
pip install composio pydantic-ai python-dotenv
```

### 3. Set up environment variables

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
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key
```

### 4. Import dependencies

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

### 5. Create a Tool Router Session

What's happening:
- We're creating a Tool Router session that gives your agent access to Shortpixel 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
```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 Shortpixel
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["shortpixel"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
```

### 6. Initialize the Pydantic AI Agent

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

### 7. Build the chat interface

What's happening:
- The agent reads input from the terminal and streams its response
- Shortpixel API calls happen automatically under the hood
- The model keeps conversation history to maintain context across turns
```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 Shortpixel.\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()
```

### 8. Run the application

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

## Complete Code

```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 Shortpixel
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["shortpixel"],
    )
    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
    shortpixel_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[shortpixel_mcp],
        instructions=(
            "You are a Shortpixel assistant. Use Shortpixel 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 Shortpixel.\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 Shortpixel through Composio's Tool Router. With this setup, your agent can perform real Shortpixel 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 + Shortpixel 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 Shortpixel MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/shortpixel/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/shortpixel/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/shortpixel/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/shortpixel/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/shortpixel/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/shortpixel/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/shortpixel/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/shortpixel/framework/cli)
- [Google ADK](https://composio.dev/toolkits/shortpixel/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/shortpixel/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/shortpixel/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/shortpixel/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/shortpixel/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/shortpixel/framework/crew-ai)

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## Frequently Asked Questions

### What are the differences in Tool Router MCP and Shortpixel MCP?

With a standalone Shortpixel MCP server, the agents and LLMs can only access a fixed set of Shortpixel tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Shortpixel 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 Shortpixel tools.

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

Yes, absolutely. You can configure which Shortpixel 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 Shortpixel data and credentials are handled as safely as possible.

---
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