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How to Use the FareHarbor MCP in Mastra AI

Build resilient, multi-step tour booking workflows that auto-retry failed FareHarbor API calls using Mastra AI.

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Mastra AI

Connect FareHarbor MCP to Mastra AI

Create your Vinkius account to connect FareHarbor 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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Automated retry logic for tour bookings

Executing `create_booking` through Mastra's workflow engine ensures your booking pipelines survive API drops and network hiccups. By registering this MCP Server with your Mastra AI agent, you get automatic retries with exponential backoff for every booking attempt. If a booking attempt drops mid-transit, Mastra holds the state and retries the endpoint. This prevents orphaned payments where the customer is charged but the tour operator never receives the booking.

Multi-step availability checks in Mastra AI

Running `get_availability` immediately before payment execution prevents double-bookings during high-volume tour slots. This setup uses a workflow that verifies the slot is still active before executing the final checkout. If the slot filled up during the user's session, Mastra AI branches the workflow to call `list_availabilities_by_date` and suggest alternative times. Your application handles the fallback without crashing.

Dynamic operator routing with booking tools

Querying `list_companies` via MCP lets Mastra AI identify which tour operator owns an activity before routing the transaction. Managing multiple tour companies requires precise routing, and this tool eliminates manual mapping. Once the correct company is identified, the agent pulls its specific catalog via `list_items`. This ensures bookings always route to the correct affiliate account without hardcoded configuration files.

Setup guide

Set up FareHarbor 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and inject tools

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

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

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FareHarbor. 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.

Why Choose Vinkius

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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about FareHarbor MCP in Mastra AI

Yes, you can require manual approval before executing `create_booking`. Mastra pauses the workflow, alerts your team, and completes the reservation once approved.
You configure a conditional branch in your workflow. If `create_booking` fails due to payment issues, the agent automatically retries with an alternative method or alerts the customer.
Yes, you can schedule background syncs. This server allows Mastra to query `list_items` and `list_lodgings` periodically to keep your local database updated.
Instantiate the client using the server's Vinkius endpoint URL. Pass the tools directly into your agent's configuration to expose all booking actions.
Your API keys and affiliate credentials stay securely stored in your environment. The MCP connection runs through a zero-trust sandbox, preventing raw credentials from leaking into agent logs.

Start using the FareHarbor MCP today

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