How to Use the EventMobi MCP in AutoGen

Q: How do I import EventMobi tools into AutoGen?

Install autogen-extmcp and use mcpservertools with your endpoint URL. Pass the resulting tool list directly into your AssistantAgent constructor.

Build AutoGen agent teams that debate and manage EventMobi schedules autonomously.

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Connect EventMobi MCP to AutoGen

Create your Vinkius account to connect EventMobi 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 EventMobi with AutoGen

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Multi-Agent Event Scheduling

Your AutoGen agents collaborate to build conference schedules using `list_sessions`. A logistics agent pulls the current room availability via `list_event_tracks`, while a content agent reviews speaker requests. The MCP Server lets them debate the optimal layout. Once they agree on a time slot, the execution agent fires `create_agenda_session` to lock it in. You get a fully negotiated agenda without clicking through a calendar UI.

Automate the EventMobi MCP Server

You deploy a front-desk agent team that handles registration spikes by running `list_attendees`. One agent verifies existing ticket holders and flags duplicates. A secondary agent processes walk-ins by calling `register_attendee` and immediately triggering `attendee_checkin`. The agents coordinate the workload, ensuring no one gets checked in twice.

Analyze Engagement in Real Time

A data-analysis agent monitors audience activity by polling `list_live_polls`. It feeds these metrics into a shared chat with a marketing agent, alongside data from `list_gamification_challenges`. The marketing agent reviews the stats and suggests pushing new challenges if engagement drops. The agents negotiate the threshold for intervention before alerting your human staff.

Setup guide

Set up EventMobi 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 EventMobi 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="EventMobi_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by EventMobi. 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 EventMobi MCP in AutoGen

Install `autogen-ext[mcp]` and use `mcp_server_tools` with your endpoint URL. Pass the resulting tool list directly into your `AssistantAgent` constructor.

Yes. Multiple agents can review the agenda data, propose different session times, and require consensus before calling the creation tool.

Your agents can list and create webhooks to pipe event data into other systems. The `McpToolAdapter` handles the schema conversion automatically.

If an API call fails, the executing agent reports the error back to the group chat. A debugging agent can then suggest alternative parameters and retry the tool.

Live poll responses and gamification scores stream through a stateless sandbox. The V8 isolate processes the payload for your agents and terminates instantly, preventing any unauthorized data persistence.

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