How to Use the Eventbrite MCP in AutoGen

Q: How do I give my AutoGen agents access to the Eventbrite MCP Server?

First, install the autogen-extmcp package. Then use the mcpservertools function with your server URL. Pass the resulting tool list directly into your AssistantAgent constructor.

Q: Can I have two AutoGen agents argue using data from the same Eventbrite event?

Yes. Give both agents access to the same tools, like geteventperformancesummary or listeventattendees. Their different system prompts will cause them to interpret and use that Eventbrite data in different ways, sparking a useful debate.

Q: How is sensitive Eventbrite data like attendee lists handled in an AutoGen conversation?

When an agent calls listeventattendees, that data enters the conversation history. You must treat the entire AutoGen chat log as sensitive. The connection to the MCP server is secure, but the data is visible to all participating agents.

Let your AutoGen agents debate and manage your Eventbrite operations. Build a team of AI event coordinators.

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Setup Eventbrite with AutoGen

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Have Agents Debate Event Strategy

Give one agent access to `quick_event_volume_audit` and another access to `get_event_performance_summary`. They can now have a grounded conversation about your business. The 'Growth' agent might see high attendance from the audit and push for more marketing. The 'Finance' agent can pull performance data from past events to argue for a more conservative budget. AutoGen makes them justify their positions with real data from this MCP Server.

Build Reports with AutoGen's Help

An `AssistantAgent` can use `list_my_events` to find all upcoming events. A `UserProxyAgent` can then ask a 'Reporter' agent to summarize the status of each one. The Reporter agent uses `get_event_detailed_data` to check settings and `list_event_attendees` to check registration numbers. The final report is a product of agent collaboration, not a single command. That's the point of this MCP setup.

Delegate Tasks to Specialist Agents

Create a manager agent that uses `list_my_organizations` to get a high-level view. This agent can then delegate tasks to subordinate agents with specific roles. For instance, it can assign one agent to monitor live events with `list_currently_live_events` and another to archive old ones using `list_past_completed_events`. The agents use the tools you've given them to do their assigned jobs.

Setup guide

Set up Eventbrite MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Eventbrite tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Eventbrite_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Eventbrite data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

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

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Eventbrite_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Eventbrite data")
    print(result.messages[-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Eventbrite. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Eventbrite MCP in AutoGen

First, install the `autogen-ext[mcp]` package. Then use the `mcp_server_tools` function with your server URL. Pass the resulting tool list directly into your `AssistantAgent` constructor.

Yes. Give both agents access to the same tools, like `get_event_performance_summary` or `list_event_attendees`. Their different system prompts will cause them to interpret and use that Eventbrite data in different ways, sparking a useful debate.

You can assign specific tools to specific agents for specialized roles. Or, you can give a group of agents all the tools and let the conversation flow determine who needs to call `list_event_ticket_orders` to prove their point.

It's standardized and managed. You don't write the API request code yourself. The `McpToolAdapter` handles converting the tool schemas to functions automatically, so you can focus on designing the agent conversations.

When an agent calls `list_event_attendees`, that data enters the conversation history. You must treat the entire AutoGen chat log as sensitive. The connection to the MCP server is secure, but the data is visible to all participating agents.

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