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Luma MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 6 tools to Add Guests To Event, Create Event, List Calendar Subscribers, and more

Built by Vinkius GDPR 6 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Luma through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Luma app connector for OpenAI Agents SDK 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

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Luma Assistant",
            instructions=(
                "You help users interact with Luma. "
                "You have access to 6 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Luma"
        )
        print(result.final_output)

asyncio.run(main())
Luma
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IAMAccess control
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V8 IsolateSandboxed
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<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

The OpenAI Agents SDK auto-discovers all 6 tools from Luma through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Luma, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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.

add_guests_to_event

Manually add guests to an event

create_event

Create a new Luma event

list_calendar_subscribers

List subscribers to your calendar

list_event_guests

List guests for an event

list_events

List your Luma events

list_organization_events

List all events in your organization

Connect Luma to OpenAI Agents SDK via MCP

Follow these steps to wire Luma into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 6 tools from Luma

Why Use OpenAI Agents SDK with the Luma MCP Server

OpenAI Agents SDK provides unique advantages when paired with Luma through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Luma + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Luma MCP Server delivers measurable value.

01

Automated workflows: build agents that query Luma, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Luma, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Luma tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Luma to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Luma in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Luma immediately.

01

"List all my upcoming events in Luma."

02

"Show me the guest list for the 'Product Launch' event."

03

"Add 'sarah@example.com' to the workshop guest list."

Troubleshooting Luma MCP Server with OpenAI Agents SDK

Common issues when connecting Luma to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Luma + OpenAI Agents SDK FAQ

Common questions about integrating Luma MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.