How to Use the Aventri MCP in AutoGen

Deploy AutoGen multi-agent teams to debate and coordinate Aventri event setups and speaker selections.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Aventri MCP to AutoGen

Create your Vinkius account to connect Aventri 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 Aventri with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Validate event setups using this AutoGen MCP Server

This MCP Server enables AutoGen agents to collaborate on Aventri event creation tasks like cloning configurations with `clone_event`. An AutoGen marketing agent can draft the requirements, while a coordinator agent checks existing Aventri setups using `list_events` to avoid naming conflicts. The AutoGen agents debate the Aventri configuration details before finalizing the setup. This consensus-driven AutoGen process ensures that every cloned Aventri event matches your organizational guidelines before going live.

Audit Aventri contact lists through agent debate

Your AutoGen team manages Aventri attendee databases by verifying records through `list_contacts` and `get_contact`. One AutoGen agent can analyze registration anomalies while another uses `update_contact` or `delete_contact` to clean up invalid Aventri profiles. By forcing AutoGen agents to agree on data changes, you prevent accidental Aventri deletions or duplicate registrations. The AutoGen agents negotiate which contacts belong on pre-load lists before calling Aventri's `add_pre_approved` or `add_pre_load` tools.

Coordinate speaker onboarding with AutoGen agents

AutoGen agents negotiate Aventri speaker assignments by analyzing profiles with `list_speakers` and `get_speaker`. An AutoGen content agent evaluates the speaker's past sessions, while an operations agent checks Aventri scheduling conflicts. Once the AutoGen agents agree on the selection, the system automatically invokes Aventri's `create_speaker` tool to add them to the roster. This collaborative AutoGen filtering ensures high-quality Aventri agendas without manual admin reviews.

Setup guide

Set up Aventri 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 Aventri 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="Aventri_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

The AutoGen agents use a debate loop where one agent proposes an update based on Aventri's `get_contact` and another validates it. They must reach consensus before the Aventri `update_contact` tool is executed by the AutoGen client.

Yes, you can selectively register Aventri tools with specific AutoGen AssistantAgents using the McpToolAdapter. For example, you can give your registration AutoGen agent access to `add_contact` while restricting Aventri's `delete_contact`.

One AutoGen agent identifies a template event using Aventri's `search_events`, and a second agent executes `clone_event` once the selection is approved. This multi-agent AutoGen coordination prevents duplicate or unauthorized Aventri event creation.

AutoGen connects to the server via Streamable HTTP to run Aventri's `clone_event` tool using your Vinkius endpoint token. The MCP adapter automatically translates the Aventri schemas into the format required by your AutoGen AssistantAgents.

Your Aventri attendee contact records and speaker profiles are accessed in real-time via secure SSL connections managed by AutoGen. Vinkius runs the Aventri server in an ephemeral sandbox, meaning no personal registration data is ever stored on our infrastructure during AutoGen executions.

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