Luma MCP Server for AutoGenGive AutoGen instant access to 6 tools to Add Guests To Event, Create Event, List Calendar Subscribers, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Luma as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this App Connector for AutoGen
The Luma app connector for AutoGen is a standout in the Industry Titans category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="luma_agent",
tools=tools,
system_message=(
"You help users with Luma. "
"6 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Luma MCP Server
Connect your Luma (lu.ma) account to any AI agent and take full control of your event orchestration and community engagement through natural conversation. Luma provides a robust platform for managing calendars and events, and this integration allows you to retrieve event metadata, manage guest lists, and create new activities directly from your chat interface.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Luma tools. Connect 6 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
What you can do
- Event & Calendar Orchestration — List all managed events and retrieve detailed metadata programmatically to ensure your community roadmap is always synchronized.
- Guest Lifecycle Management — Access and monitor guest lists and add new attendees directly from the AI interface to maintain high-fidelity event engagement.
- Communication & Update Control — List hosts and organizers linked to a calendar via natural language to drive better team alignment.
- Organization Oversight — Access organizational events and monitor system webhooks using simple AI commands.
- Operational Monitoring — Track system responses and manage event metadata to ensure your community workflows are always optimized.
The Luma MCP Server exposes 6 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 6 Luma tools available for AutoGen
When AutoGen connects to Luma through Vinkius, your AI agent gets direct access to every tool listed below — spanning event-registration, community-engagement, attendee-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Manually add guests to an event
Create a new Luma event
List subscribers to your calendar
List guests for an event
List your Luma events
List all events in your organization
Connect Luma to AutoGen via MCP
Follow these steps to wire Luma into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the Luma MCP Server
AutoGen provides unique advantages when paired with Luma through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Luma tools to solve complex tasks
Role-based architecture lets you assign Luma tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Luma tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Luma tool responses in an isolated environment
Luma + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Luma MCP Server delivers measurable value.
Collaborative analysis: one agent queries Luma while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Luma, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Luma data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Luma responses in a sandboxed execution environment
Example Prompts for Luma in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Luma immediately.
"List all my upcoming events in Luma."
"Show me the guest list for the 'Product Launch' event."
"Add 'sarah@example.com' to the workshop guest list."
Troubleshooting Luma MCP Server with AutoGen
Common issues when connecting Luma to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Luma + AutoGen FAQ
Common questions about integrating Luma MCP Server with AutoGen.