How to Use the Hipsy MCP in AutoGen

Q: How do I load Hipsy tools into AutoGen?

Install autogen-extmcp. Initialize your server parameters with StreamableHttpServerParams, then pass the returned tool list into your AssistantAgent constructor.

Q: Can AutoGen agents debate Hipsy ticket pricing?

They can analyze current structures. One agent calls listtickettypes to pull the tiers, while another pulls geteventrevenue to argue which price point drove the most sales.

Build AutoGen multi-agent systems that connect to your Hipsy MCP server to debate venue capacity, audit ticket revenue, and monitor door scan speeds.

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Connect Hipsy MCP to AutoGen

Create your Vinkius account to connect Hipsy 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 Hipsy with AutoGen

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Multi-Agent Venue Management

Build an AutoGen system where a finance agent calls `get_event_revenue` while a security agent monitors the front gates. Managing a massive festival requires balancing these competing priorities in real time. The security agent constantly hits `get_scan_stats` to track how fast people are entering the venue. If the scan rate drops while sales spike, the agents debate the best course of action before alerting your floor staff.

Automated Fraud Audits via MCP

Set up an auditor agent that calls `list_orders_by_event` to look for suspiciously large bulk ticket purchases. Ticket scalping ruins the experience for actual fans and damages your brand reputation. If it flags a problem, it hands the data over to a verification agent. That second script pulls the specific transaction details using `get_order`. They negotiate on whether the purchase looks legitimate or if it requires human review.

Monitor Operations Autonomously

Dedicate a lightweight agent to run `check_hipsy_status` on a loop because you cannot afford API downtime when the doors open at 10 PM. This monitor watches your infrastructure while the rest of the swarm handles business logic. If the connection wavers, it alerts the other agents. They immediately know to pause their calls to `list_upcoming_events` or `list_webhooks` until the primary monitor confirms the ticketing platform is stable again.

Setup guide

Set up Hipsy 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 Hipsy 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="Hipsy_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent Hipsy 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 Hipsy. 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 Hipsy MCP in AutoGen

Install autogen-ext[mcp]. Initialize your server parameters with StreamableHttpServerParams, then pass the returned tool list into your AssistantAgent constructor.

They can analyze current structures. One agent calls `list_ticket_types` to pull the tiers, while another pulls `get_event_revenue` to argue which price point drove the most sales.

Yes. The McpToolAdapter converts the standard definitions into the exact JSON format your Microsoft agents expect.

Yes. You assign specific tools to specific agents. Give the finance bot access to `list_orders` and limit the security bot to `list_scans`.

Vinkius isolates every single execution. When your agents pull personal details via `list_attendees`, the system processes the request inside a sealed sandbox. We never store your attendee names or email addresses on our infrastructure.

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