# How to integrate Eventzilla MCP with Autogen

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

## Introduction

This guide walks you through connecting Eventzilla to AutoGen 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 AutoGen 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:
- Get and set up your OpenAI and Composio API keys
- Install the required dependencies for Autogen and Composio
- Initialize Composio and create a Tool Router session for Eventzilla
- Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
- Configure an Autogen AssistantAgent that can call Eventzilla tools
- Run a live chat loop where you ask the agent to perform Eventzilla operations

## What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.
Key features include:
- Multi-Agent Systems: Build collaborative agent workflows
- MCP Workbench: Native support for Model Context Protocol tools
- Streaming HTTP: Connect to external services through streamable HTTP
- AssistantAgent: Pre-built agent class for tool-using assistants

## 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 agents and assistants directly to Eventzilla. Instead of manually wiring Eventzilla APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely.
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

You will need:
- A Composio API key
- An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
- A Eventzilla account you can connect to Composio
- Some basic familiarity with Autogen and Python async

### 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 Composio, Autogen extensions, and dotenv.
What's happening:
- composio connects your agent to Eventzilla via MCP
- autogen-agentchat provides the AssistantAgent class
- autogen-ext-openai provides the OpenAI model client
- autogen-ext-tools provides MCP workbench support
```bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools
```

### 3. Set up environment variables

Create a .env file in your project folder.
What's happening:
- COMPOSIO_API_KEY is required to talk to Composio
- OPENAI_API_KEY is used by Autogen's OpenAI client
- USER_ID is how Composio identifies which user's Eventzilla connections to use
```bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com
```

### 4. Import dependencies and create Tool Router session

What's happening:
- load_dotenv() reads your .env file
- Composio(api_key=...) initializes the SDK
- create(...) creates a Tool Router session that exposes Eventzilla tools
- session.mcp.url is the MCP endpoint that Autogen will connect to
```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Eventzilla session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["eventzilla"]
    )
    url = session.mcp.url
```

### 5. Configure MCP parameters for Autogen

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.
What's happening:
- url points to the Tool Router MCP endpoint from Composio
- timeout is the HTTP timeout for requests
- sse_read_timeout controls how long to wait when streaming responses
- terminate_on_close=True cleans up the MCP server process when the workbench is closed
```python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)
```

### 6. Create the model client and agent

What's happening:
- OpenAIChatCompletionClient wraps the OpenAI model for Autogen
- McpWorkbench connects the agent to the MCP tools
- AssistantAgent is configured with the Eventzilla tools from the workbench
```python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Eventzilla assistant agent with MCP tools
    agent = AssistantAgent(
        name="eventzilla_assistant",
        description="An AI assistant that helps with Eventzilla operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )
```

### 7. Run the interactive chat loop

What's happening:
- The script prompts you in a loop with You:
- Autogen passes your input to the model, which decides which Eventzilla tools to call via MCP
- agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
- Typing exit, quit, or bye ends the loop
```python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Eventzilla related question or task to the agent.\n")

# Conversation loop
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")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Eventzilla session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["eventzilla"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Eventzilla assistant agent with MCP tools
        agent = AssistantAgent(
            name="eventzilla_assistant",
            description="An AI assistant that helps with Eventzilla operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Eventzilla related question or task to the agent.\n")

        # Conversation loop
        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")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

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

## Conclusion

You now have an Autogen assistant wired into Eventzilla through Composio's Tool Router and MCP. From here you can:
- Add more toolkits to the toolkits list, for example notion or hubspot
- Refine the agent description to point it at specific workflows
- Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Eventzilla, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

## 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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- [Humanitix](https://composio.dev/toolkits/humanitix) - Humanitix is a not-for-profit ticketing platform that donates 100% of profits to charity. It empowers event organizers to make social impact with every ticket sold.
- [Lodgify](https://composio.dev/toolkits/lodgify) - Lodgify is an all-in-one vacation rental software for property managers and owners. It centralizes bookings, guest messaging, and channel synchronization in one dashboard.
- [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.
- [Scheduleonce](https://composio.dev/toolkits/scheduleonce) - Scheduleonce is a scheduling platform for capturing, qualifying, and engaging with inbound leads. It streamlines appointment booking and follow-ups for faster lead conversion.
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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 Autogen?

Yes, you can. Autogen 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.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)
