How to Use the Luma MCP in CrewAI

Q: Can a CrewAI manager agent monitor Luma event metrics?

Yes. The manager agent can execute listorganizationevents to track overall performance and assign tasks to subordinate agents based on attendance rates.

Q: How do I prevent CrewAI agents from spamming Luma invites?

You can use a toolfilter to restrict access to addgueststoevent, or set up a moderator agent to review the guest list before execution.

Q: How does CrewAI protect Luma subscriber list data?

Subscriber data retrieved via listcalendarsubscribers remains local to the crew's execution memory. It is never transmitted to external servers or used for model training.

Coordinate specialized CrewAI agent teams to manage Luma invite lists and calendar schedules autonomously.

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Connect Luma MCP to CrewAI

Create your Vinkius account to connect Luma to CrewAI 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 Luma with CrewAI

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Multi-agent guest vetting pipelines

The `list_event_guests` tool lets your researcher agent fetch the current attendee list, while a moderator agent analyzes their profiles for alignment. CrewAI coordinates this handoff, passing the guest data between specialized agents without manual intervention. One agent pulls the list, another cross-references it with your CRM, and a third decides if they need VIP tags. This keeps your community quality high without eating up your afternoon.

Autonomous calendar subscriber growth

The `list_calendar_subscribers` tool provides the raw subscriber feed that your marketing crew needs to run re-engagement campaigns. CrewAI assigns a manager agent to oversee this data, delegating tasks to writer agents who draft personalized updates based on subscriber history. The manager agent monitors the subscriber count, notices stagnation, and tasks the crew with launching a new event. It's a self-contained growth loop running entirely in the background.

Scheduling events using CrewAI and MCP Server

The `create_event` tool allows your scheduling agent to book slots, while a separate coordinator agent verifies the timing against `list_events`. This MCP Server integration prevents your crew from booking overlapping webinars or scheduling events during holidays. The agents talk to each other to resolve conflicts. If a conflict is found, they reschedule and update the team channel with the new details automatically.

Setup guide

Set up Luma MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Luma tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Luma Analyst",
    goal="Access and analyze Luma data via MCP.",
    backstory="Expert analyst with direct Luma access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Luma transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Luma Analyst",
        goal="Access and analyze Luma data via MCP.",
        backstory="Expert analyst with direct Luma access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Luma transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 Luma. 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 Luma MCP in CrewAI

You pass the Luma MCP Server URL in the agent's mcps array. This gives that specific agent access to tools like `add_guests_to_event` while keeping other agents focused on analysis.

Yes. The manager agent can execute `list_organization_events` to track overall performance and assign tasks to subordinate agents based on attendance rates.

You can use a tool_filter to restrict access to `add_guests_to_event`, or set up a moderator agent to review the guest list before execution.

Yes. CrewAI connects to the MCP Server using standard SSE or Streamable HTTP transports, making it easy to run agents in distributed cloud environments.

Subscriber data retrieved via `list_calendar_subscribers` remains local to the crew's execution memory. It is never transmitted to external servers or used for model training.

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