How to Use the Eventcube MCP in AutoGen

Q: How do I configure Eventcube for AutoGen?

Install autogen-extmcp. Initialize your connection using mcpservertools with StreamableHttpServerParams, then pass the resulting tool list directly into your AssistantAgent constructor.

Q: Do AutoGen agents convert MCP API schemas automatically?

McpToolAdapter handles the translation behind the scenes. Your agents read the JSON schema for tools like getevent and automatically format their arguments to match Eventcube's requirements.

Q: How does AutoGen handle Eventcube privacy constraints?

The getorder tool exposes partial credit card details and billing addresses. AutoGen isolates this data within the specific agent's context window, preventing other agents in the swarm from accessing the PII unless explicitly required for their task.

Deploy debating agents to manage Eventcube ticketing operations with AutoGen.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Eventcube MCP to AutoGen

Create your Vinkius account to connect Eventcube 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.

GDPR Free for Subscribers

Setup Eventcube with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate event creation parameters

Assign `create_event` and `create_venue` to an execution agent, while a separate risk-management agent reviews the inputs. Before the execution agent builds the event, the risk agent checks the venue capacity and dates for conflicts. They negotiate the final setup. If the risk agent flags a missing address, it forces the execution agent to request more information from the user before committing the payload to the Eventcube API.

Consensus-driven customer support

A support agent receives a lost ticket complaint and calls `get_order`. A policy agent analyzes the order status. They debate whether the request violates your internal rules before deciding to trigger `resend_order_confirmation`. This prevents automated mistakes. The agents must reach an agreement based on the actual API data, ensuring tickets only go to verified buyers who meet your specific criteria.

Automate Eventcube MCP Server audits

Deploy an auditing agent that constantly runs `list_events` and `list_tickets` to monitor sales velocity. A marketing agent reviews this data and argues for opening new ticket tiers if the current ones are selling too fast. The resulting conversation gives you a clear log of why decisions were made. You see exactly how the agents weighed the remaining inventory against historical trends before proposing a price change.

Setup guide

Set up Eventcube 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 Eventcube 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="Eventcube_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

Get your connection token →

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="Eventcube_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Eventcube 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 Eventcube. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Eventcube now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Eventcube MCP in AutoGen

Install `autogen-ext[mcp]`. Initialize your connection using `mcp_server_tools` with `StreamableHttpServerParams`, then pass the resulting tool list directly into your `AssistantAgent` constructor.

Yes. You can provide the same tool list to different agents in your conversation. One agent might specialize in running `list_venues`, while another handles `create_ticket`.

If you haven't provided clear system prompts, agents might disagree on which category ID to use from `list_categories`. Define strict rules for mapping internal event types to Eventcube categories.

`McpToolAdapter` handles the translation behind the scenes. Your agents read the JSON schema for tools like `get_event` and automatically format their arguments to match Eventcube's requirements.

The `get_order` tool exposes partial credit card details and billing addresses. AutoGen isolates this data within the specific agent's context window, preventing other agents in the swarm from accessing the PII unless explicitly required for their task.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript