How to Use the Tock Reservations MCP in Mastra AI

Q: Can Mastra AI list all Tock Reservations businesses?

Yes. You use listmanagedbusinesses as the starting point for any multi-step process. The workflow can then iterate through every returned business ID, running specific checks like calling getbusinessdetaileddata on each one.

Q: What data types does the Tock Reservations MCP Server touch with Mastra AI?

The server touches reservation status (in getreservationdetails), business settings, performance metrics, and structured guest profile data (listbusinessguests). The process manages this data through defined steps.

Q: How can I audit Tock Reservations volume using Mastra AI?

You initiate a workflow that calls quickhospitalityvolumeaudit. This gives you a reliable, high-level summary of reservations, guests, and events, which the system processes even if certain underlying data sources are temporarily unavailable.

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Setup Tock Reservations with Mastra AI

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Perplexity

Handling Reservation Failures Automatically

You can build complex payment flows that require retries. If a booking attempt fails, the workflow engine automatically handles it—maybe trying a different card or notifying an admin via `get_business_detailed_data`. This is crucial for reliable commerce. The system manages failure gracefully with exponential backoff, so you don't have to write boilerplate retry logic yourself.

Audit and Compare Business Metrics

Need to compare performance? The workflow can execute `get_business_performance_metrics` for multiple venues and then branch the logic based on which metrics fall below a threshold. It handles the comparison, making your multi-step process robust. This allows you to run audits across many locations using `list_managed_businesses`, ensuring every endpoint is checked against business rules.

Automated Guest and Event Management

Set up a workflow that automatically checks for upcoming events. The agent can call `list_business_special_events` to see pop-ups, then use `list_future_scheduled_reservations` to verify capacity against those dates. This sequence of calls builds reliable logic. Furthermore, you can build steps that gather all contacts by calling `list_business_guests`, making the data available for follow-up actions.

Setup guide

Set up Tock Reservations 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 Tock Reservations 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: "tock-reservations-mcp-client",
  servers: {
    "tock-reservations-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Tock Reservations 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 Tock Reservations. 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 Tock Reservations MCP in Mastra AI

Mastra AI builds workflows around reservation cycles. You can define steps that check `get_reservation_details` status and automatically retry booking attempts if the initial transaction fails, ensuring high completion rates.

The framework handles this by allowing conditional branching. If `get_business_performance_metrics` returns missing data fields, the workflow can automatically pivot to an alternate action, like pulling a high-level summary using `quick_hospitality_volume_audit` instead.

Yes. You use `list_managed_businesses` as the starting point for any multi-step process. The workflow can then iterate through every returned business ID, running specific checks like calling `get_business_detailed_data` on each one.

The server touches reservation status (in `get_reservation_details`), business settings, performance metrics, and structured guest profile data (`list_business_guests`). The process manages this data through defined steps.

You initiate a workflow that calls `quick_hospitality_volume_audit`. This gives you a reliable, high-level summary of reservations, guests, and events, which the system processes even if certain underlying data sources are temporarily unavailable.

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