How to Use the Boathouse Connect MCP in Vercel AI SDK

Q: Is Boathouse Connect reliable for Vercel AI SDK apps?

The server checks connectivity via checkboathousestatus before any operation. It ensures your Vercel AI SDK app only attempts requests when the link is active.

Stream marina reservation data directly into your Vercel AI SDK frontends for live, zero-latency updates.

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Connect Boathouse Connect MCP to Vercel AI SDK

Create your Vinkius account to connect Boathouse Connect to Vercel AI SDK 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 Vercel AI SDK

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Real-time reservation management for Vercel AI SDK

Your Vercel AI SDK app fetches `list_reservations` and `create_reservation` to display boat slip availability as it happens. Users watching your React components see the reservation state change instantly without waiting for a backend refresh. This MCP Server pushes status updates through your existing streaming pipelines. You get a live feed of marina activity directly in the browser, making your interface feel faster than standard REST calls.

Direct equipment tracking in TypeScript

Your code uses `list_equipment` and `get_equipment` to pull specific hardware details into your UI state. You can map out maintenance schedules by binding these results to your component props. Everything stays in sync because the server streams the data payload straight to your frontend. You avoid the lag of manual polling and keep your UI state consistent with the marina database.

Member records for custom dashboards

You can pull member profiles using `list_users` and `get_user` to personalize user views within your Vercel AI SDK application. It puts the customer data right where you need it for building account summary pages. This data arrives typed and ready for your interface logic. You map the fields to your UI components and show real member status without writing custom middleware.

Setup guide

Set up Boathouse Connect MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Boathouse Connect tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Boathouse Connect transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

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 Vercel AI SDK

Install the MCP client via npm and point it at the server URL. You then pass the tools into your Vercel AI SDK generateText function to start calling marina operations.

Yes, it works natively with the streaming features in your SDK. You get the tool output piped directly to the UI for immediate rendering.

The server checks connectivity via `check_boathouse_status` before any operation. It ensures your Vercel AI SDK app only attempts requests when the link is active.

The server returns paginated results for all lists. You can easily loop through these in your Vercel AI SDK logic to display long schedules.

We isolate your member names and reservation history within a V8 sandbox. The connection between the server and your Vercel AI SDK client stays encrypted at all times.

Use it with your favorite AI tools

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