How to Use the SevenRooms MCP in Mastra AI

Q: How does Mastra AI ensure accurate SevenRooms table availability?

The checkavailability tool feeds into a reliable workflow. If the connection drops, Mastra automatically retries the call until it gets valid open tables and wait time data back for your process.

Q: Can I use Mastra AI to check SevenRooms reservations?

Yes, you can wrap listreservations into a multi-step job. You might first pull the venue list using listvenues, then iterate through each one to get all current bookings for comprehensive reporting.

Q: What happens if guest data fails when running SevenRooms tasks with Mastra AI?

Mastra doesn't just crash. If a call to getguest fails, your workflow can execute alternative steps—like sending an internal notification or logging the failure—before attempting the next piece of logic.

Q: Is Mastra AI suitable for managing multiple SevenRooms venues?

It’s perfect. You use listvenues to get all location IDs, and then your workflow can loop through them sequentially to process reservations or check availability across the entire group.

Q: What data types does this MCP Server touch regarding SevenRooms and Mastra AI?

This server touches booking records (getreservation), location lists, waitlist status, and guest profiles. These are all critical operational details for managing a restaurant group.

Build resilient SevenRooms operations with Mastra AI.

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Setup SevenRooms with Mastra AI

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Claude

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Automated Table Allocation

You don't want your workflow to fail because of a temporary API hiccup. With `check_availability`, if the initial call fails, Mastra retries it automatically with exponential backoff until the reservation data is solid. This keeps your SevenRooms booking process reliable.

Multi-Step Guest Lookup

Handling a complex query? You can chain tools: first run `search_guests`, then use that ID to call `get_reservation`. If the reservation data is missing, your workflow branches and notifies an admin instead of just failing. It handles failure gracefully.

Systematic Waitlist Management

The `list_waitlist` tool isn't just a simple read; it's part of a robust process. You can build a workflow that checks the waitlist, compares capacity with real-time demand, and then decides whether to trigger an alert or update the reservation status.

Setup guide

Set up SevenRooms MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All SevenRooms tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "sevenrooms-mcp-client",
  servers: {
    "sevenrooms-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "SevenRooms Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to SevenRooms tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent SevenRooms transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by SevenRooms. 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 SevenRooms MCP in Mastra AI

The `check_availability` tool feeds into a reliable workflow. If the connection drops, Mastra automatically retries the call until it gets valid open tables and wait time data back for your process.

Yes, you can wrap `list_reservations` into a multi-step job. You might first pull the venue list using `list_venues`, then iterate through each one to get all current bookings for comprehensive reporting.

Mastra doesn't just crash. If a call to `get_guest` fails, your workflow can execute alternative steps—like sending an internal notification or logging the failure—before attempting the next piece of logic.

It’s perfect. You use `list_venues` to get all location IDs, and then your workflow can loop through them sequentially to process reservations or check availability across the entire group.

This server touches booking records (`get_reservation`), location lists, waitlist status, and guest profiles. These are all critical operational details for managing a restaurant group.

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