How to Use the Boathouse Connect MCP in Mastra AI

Automate marina workflows in Mastra AI with conditional logic and error handling.

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Connect Boathouse Connect MCP to Mastra AI

Create your Vinkius account to connect Boathouse Connect 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 Boathouse Connect with Mastra AI

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Automated reservation flows in Mastra AI

Build agents that handle `create_reservation` and `get_reservation` with automatic retries if the marina API is busy. If a booking fails, your Mastra AI workflow can branch to notify an admin or try a different slip. This logic keeps your operations moving even when connectivity stutters. You define the failure threshold once, and the framework handles the rest.

Dynamic equipment maintenance with Mastra AI

Your agents use `list_equipment` to scan for items needing service and `get_equipment` to pull specs. You can chain these into a workflow that alerts your team when a boat slip needs inspection. This replaces manual checks with an agent that stays active 24/7. It triggers based on the actual data retrieved from the server.

Member management agents for Mastra AI

Create agents that query `list_users` to identify active members before checking `list_schedules`. You can build a workflow that automatically validates member status before confirming any marina service requests. This ensures your agents only execute tasks for authorized individuals. It adds a layer of logic that verifies the data before moving to the next step.

Setup guide

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

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

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

Initialize the MCP client within your Mastra AI agent configuration. You then spread the server tools into the agent definition to enable marina operations.

Yes, you can enable tool approval for your Mastra AI workflows. This forces the agent to stop and wait for your confirmation before finalizing any reservation.

It is built for that. You can chain marina queries within your Mastra AI workflow engine to handle multi-step tasks like scheduling and billing.

The framework uses built-in retries. If the server remains unreachable, your Mastra AI logic catches the error and moves to your defined backup branch.

All reservation logs and member IDs are processed in a secure, ephemeral environment. Your Mastra AI agent only receives the specific data returned by the tool calls.

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