How to Use the Eventtia MCP in AutoGen
Let your AutoGen agents debate and manage your Eventtia data. Build teams of agents to run events collaboratively.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Eventtia MCP to AutoGen
Create your Vinkius account to connect Eventtia 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.
Let Agents Debate Event Strategy
Set up a team of agents. An "Analyst" agent uses `get_event_performance_stats` to report on past successes. A "Planner" agent uses that data to propose a new event structure, checking speaker availability with `list_event_speakers`. A "Manager" agent oversees the conversation. This isn't a single agent following a script. The agents converse. The Analyst might challenge the Planner's speaker choice based on past attendance data from `list_event_attendees`. They arrive at a better plan through debate, all using data from this MCP Server.
An Agent Team for Your Live Event
Create a "Live-Ops" agent that only watches `list_currently_live_events`. When an event goes live, it alerts a "Networking" agent, which starts monitoring `list_event_business_meetings`, and a "Content" agent, which tracks `list_event_sessions`. The agents work together. If the Content agent sees a session is poorly attended, it can tell the Networking agent to promote it. This MCP Server provides the real-time data feeds they need to react as a team.
Run Audits with an AutoGen MCP Server
Assign one agent the role of "Auditor." Its job is to run `quick_event_engagement_audit` on all events from `list_all_events`. A second "Security" agent could use `get_event_detailed_data` to check if public registration is enabled on sensitive internal events. The two agents can then compare notes. The Auditor might flag an event for low engagement, while the Security agent flags it for a configuration risk. This conversational approach surfaces issues that a single-pass script would miss.
Set up Eventtia 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes Eventtia tools and returns structured results.
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="Eventtia_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Eventtia data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="Eventtia_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Eventtia data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Eventtia. 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 Eventtia MCP in AutoGen
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