# How to integrate Eventzilla MCP with Pydantic AI

```json
{
  "title": "How to integrate Eventzilla MCP with Pydantic AI",
  "toolkit": "Eventzilla",
  "toolkit_slug": "eventzilla",
  "framework": "Pydantic AI",
  "framework_slug": "pydantic-ai",
  "url": "https://composio.dev/toolkits/eventzilla/framework/pydantic-ai",
  "markdown_url": "https://composio.dev/toolkits/eventzilla/framework/pydantic-ai.md",
  "updated_at": "2026-05-12T10:10:49.426Z"
}
```

## Introduction

This guide walks you through connecting Eventzilla to Pydantic AI using the Composio tool router. By the end, you'll have a working Eventzilla agent that can list all upcoming events for this month, show me attendees for your latest event, find all events in the 'conference' category through natural language commands.
This guide will help you understand how to give your Pydantic AI agent real control over a Eventzilla account through Composio's Eventzilla MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Eventzilla with

- [OpenAI Agents SDK](https://composio.dev/toolkits/eventzilla/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/eventzilla/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/eventzilla/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/eventzilla/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/eventzilla/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/eventzilla/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/eventzilla/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/eventzilla/framework/cli)
- [Google ADK](https://composio.dev/toolkits/eventzilla/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/eventzilla/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/eventzilla/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/eventzilla/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/eventzilla/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/eventzilla/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 Eventzilla
- 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 Eventzilla 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 Eventzilla MCP server, and what's possible with it?

The Eventzilla MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Eventzilla account. It provides structured and secure access to your event management data, so your agent can perform actions like listing events, retrieving attendee details, exploring event categories, and managing user information on your behalf.
- Comprehensive event listing and filtering: Ask your agent to fetch all your events or filter them by category, date, or status to get a quick overview of what's coming up or what has happened.
- Easy attendee and user management: Have your agent list all users associated with your account, making it simple to review or export attendee and staff details.
- Detailed user profile retrieval: Direct your agent to pull up full profiles for any user, helping you get the context you need without manual searching.
- Quick access to event categories: Let your agent fetch all available event categories, so you can easily organize, sort, or plan new events based on your needs.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `EVENTZILLA_CANCEL_ORDER` | Cancel Order | Tool to cancel an event order by checkout ID and event ID. Use when you need to cancel a customer's order and require a reason for the cancellation. |
| `EVENTZILLA_CHECK_IN_ATTENDEE` | Check In Attendee | Tool to check in or revert check-in for an attendee using their unique barcode. Use when you need to mark an attendee as present at an event or undo a check-in. |
| `EVENTZILLA_CONFIRM_ORDER` | Confirm Order | Tool to confirm an event order by checkout ID and event ID. Use when you need to confirm a pending order and optionally send a confirmation email to the buyer. |
| `EVENTZILLA_GET_USER_DETAILS` | Get User Details | Tool to retrieve detailed information of a specific user. Use after listing users to fetch full profile. |
| `EVENTZILLA_LIST_CATEGORIES` | List Event Categories | Tool to retrieve event categories available in Eventzilla. Use when you need to present or choose from available categories before creating or filtering events. |
| `EVENTZILLA_LIST_EVENTS` | List Events | Tool to retrieve a list of events associated with your account (supports filtering). Use when you need to list or filter events for your organization. |
| `EVENTZILLA_LIST_EVENT_TICKETS` | List Event Tickets | Tool to retrieve all ticket categories for a specified event. Returns ticket types with pricing, availability, sales dates, limits, and additional options like partial payment. |
| `EVENTZILLA_LIST_EVENT_TRANSACTIONS` | List Event Transactions | Tool to retrieve all transactions for a specified event. Use when you need to get transaction details including buyer information, amounts, status, and payment methods for an event. |
| `EVENTZILLA_LIST_USERS` | List Users | Tool to retrieve a list of users associated with your account. Use when you need to fetch and paginate through users. |

## Supported Triggers

None listed.

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

The Eventzilla MCP server is an implementation of the Model Context Protocol that connects your AI agent to Eventzilla. It provides structured and secure access so your agent can perform Eventzilla 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 Eventzilla
- 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 Eventzilla
- MCPServerStreamableHTTP connects to the Eventzilla 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 Eventzilla 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 Eventzilla
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["eventzilla"],
    )
    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 Eventzilla endpoint
- The agent uses GPT-5 to interpret user commands and perform Eventzilla operations
- The instructions field defines the agent's role and behavior
```python
# Attach the MCP server to a Pydantic AI Agent
eventzilla_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[eventzilla_mcp],
    instructions=(
        "You are a Eventzilla assistant. Use Eventzilla 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
- Eventzilla 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 Eventzilla.\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 Eventzilla
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["eventzilla"],
    )
    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
    eventzilla_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[eventzilla_mcp],
        instructions=(
            "You are a Eventzilla assistant. Use Eventzilla 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 Eventzilla.\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 Eventzilla through Composio's Tool Router. With this setup, your agent can perform real Eventzilla 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 + Eventzilla 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 Eventzilla MCP Agent with another framework

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

## Related Toolkits

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- [Planyo Online Booking](https://composio.dev/toolkits/planyo_online_booking) - Planyo Online Booking is a flexible reservation system for managing bookings by day, hour, or event. It streamlines scheduling for any business needing reservations.
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## Frequently Asked Questions

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

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

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

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

---
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