How to Use the Eventee MCP in AutoGen

Q: How do I register Eventee tools in AutoGen?

Install autogen-extmcp and use mcpservertools. Pass the tool list directly into your AssistantAgent constructor. The adapter maps the schemas for you.

Q: How do AutoGen agents handle Eventee account limits?

Give one agent access to geteventeeaccountmetadata. It can monitor your API usage and warn the other agents if they are pulling data too fast.

Build AutoGen multi-agent systems that debate Eventee MCP Server schedule changes, audit engagement, and monitor live events.

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Connect Eventee MCP to AutoGen

Create your Vinkius account to connect Eventee to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Eventee with AutoGen

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Multi-Agent Eventee MCP Server Audits

`quick_event_engagement_audit` feeds high-level event metrics into your AutoGen conversation. One agent pulls the summary data while a second agent evaluates the numbers against your historical benchmarks. They debate the results before generating a final report. This consensus model prevents rushed reactions. If the data shows low engagement, the agents might negotiate the next step. One pushes to run `list_event_audience_questions` to find out why, while another checks the schedule to see if a session just ended.

Autonomous Schedule Monitoring

`list_currently_active_events` lets your agents identify what is happening right now. An active monitoring agent polls this endpoint and alerts the group when an event goes live. The system reacts to the real-time state of your account. Once an event is active, the agents split the workload. A scheduling agent calls `list_event_sessions` to track the timeline. A separate attendee agent monitors the crowd size. They communicate their findings back to the main thread.

Cross-Reference Speakers and Attendees

`list_event_registered_attendees` gives your agents the raw headcount and details for an event. A logistics agent uses this data to calculate room capacity. Meanwhile, a speaker agent runs `list_event_speakers` to see who is presenting. The agents cross-reference these lists automatically. If the attendee count spikes for a specific speaker, the agents discuss whether to adjust the event settings. They can verify the current configuration by calling `get_event_detailed_data` to check the rules.

Setup guide

Set up Eventee 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 Eventee 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="Eventee_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Eventee 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="Eventee_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

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Common questions about Eventee MCP in AutoGen

Install `autogen-ext[mcp]` and use `mcp_server_tools`. Pass the tool list directly into your `AssistantAgent` constructor. The adapter maps the schemas for you.

Yes. You can provision the tools to a specific agent in the conversation. A data-gathering agent handles the API calls and shares the results with the rest of the group.

Give one agent access to `get_eventee_account_metadata`. It can monitor your API usage and warn the other agents if they are pulling data too fast.

The agents see the error message in the chat context. They will discuss the failure and can automatically retry the call or try a different endpoint like `list_all_events`.

The MCP server uses single-endpoint token authentication. When an agent calls `list_event_audience_questions`, the request runs in an isolated sandbox. Vinkius drops the connection and clears the state the moment the data transfers.

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