How to Use the Checkfront MCP in Mastra AI

Build automated booking workflows with Mastra AI and Checkfront to auto-retry failed bookings and check tour availability.

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Connect Checkfront MCP to Mastra AI

Create your Vinkius account to connect Checkfront to Mastra AI 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 Checkfront with Mastra AI

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Automated booking recovery with Mastra AI

The `get_booking` tool exposes Checkfront reservation states directly to Mastra's conditional workflow engine. When a Checkfront reservation fails, your Mastra agent automatically triggers retries or routes the user to alternative dates.

Looping inventory sweeps

The `list_items` tool scans your active Checkfront rental catalog to verify current stock levels within Mastra. Mastra uses this Checkfront data in recursive workflows, automatically updating external channels when item counts drop.

Automated waiver validation

The `search_customers` tool retrieves Checkfront contact information and outstanding waivers using the MCP Server to feed Mastra's decision steps. Mastra evaluates whether a customer has signed their Checkfront waiver before confirming their scheduled tour.

Setup guide

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

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

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

Initialize the Vinkius MCP Server endpoint using the Mastra `MCPClient` class, then spread the Checkfront tools into your agent's configuration. The Mastra framework automatically maps `check_availability` and other Checkfront tools for immediate use in your workflows.

Yes, you can configure Mastra AI to require manual approval before calling Checkfront tools like `get_booking`. This keeps your staff in control of critical Checkfront reservation changes while Mastra AI automates the search process.

Mastra AI features built-in exponential backoff retries that catch network hiccups during Checkfront `list_items` calls. Your automated Mastra AI workflows won't crash just because of a temporary Checkfront connection drop.

Yes, the Vinkius proxy exposes a standard SSE endpoint that your local Mastra AI agent connects to for Checkfront testing. You can test your Checkfront booking flows locally in Mastra AI before deploying.

Checkfront customer contact details and waiver statuses are processed strictly in transit through Mastra AI using encrypted TLS channels. No local database on the Vinkius MCP network logs or stores this sensitive Checkfront reservation data during Mastra AI execution.

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