Luma MCP Server for Mastra AIGive Mastra AI instant access to 6 tools to Add Guests To Event, Create Event, List Calendar Subscribers, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Luma through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The Luma app connector for Mastra AI 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 { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"luma": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Luma Agent",
instructions:
"You help users interact with Luma " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Luma?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Luma tool infrastructure. Connect 6 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI
When Mastra AI 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 Mastra AI via MCP
Follow these steps to wire Luma into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Luma MCP Server
Mastra AI provides unique advantages when paired with Luma through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Luma without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Luma tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Luma + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Luma MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Luma, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Luma as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Luma on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Luma tools alongside other MCP servers
Example Prompts for Luma in Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Luma to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpLuma + Mastra AI FAQ
Common questions about integrating Luma MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.