How to Use the EventMobi Experience MCP in AutoGen
Give your AutoGen agents the data they need to negotiate event schedules and debate attendee engagement.
Works with every AI agent you already use
…and any MCP-compatible client
Connect EventMobi Experience MCP to AutoGen
Create your Vinkius account to connect EventMobi Experience 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.
Debate EventMobi Experience Analytics
The `get_event_engagement_analytics` tool feeds hard numbers into your multi-agent debates. An analyst agent pulls the metrics, while a strategy agent argues about whether the current session format is actually working. They do not just accept the first conclusion. If the engagement looks low, a third agent might trigger `list_event_sessions` to cross-reference the schedule and figure out if a specific track is causing the drop.
Negotiate Resource Allocation
Your agents use `quick_event_volume_audit` to get a fast read on headcounts and speaker totals. A logistics agent looks at these numbers and pushes to expand room sizes, while a budget agent pushes back to keep costs down. This friction creates better decisions. They query the MCP Server, analyze the raw volume, and negotiate a final recommendation that balances attendee comfort with financial reality.
Audit Accounts Collaboratively
Running `get_eventmobi_account_metadata` lets your administrative agents verify current limits and account status. A compliance agent checks these constraints before allowing a marketing agent to create new projects. If the metadata shows you are near your limit, the agents can automatically call `list_all_events` to identify older projects that might be safe to archive. They reach a consensus before alerting the human operator.
Set up EventMobi Experience 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 EventMobi Experience 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="EventMobi Experience_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent EventMobi Experience 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="EventMobi Experience_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent EventMobi Experience 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 EventMobi Experience. 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 Experience MCP in AutoGen
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