Boathouse Connect MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Check Boathouse Status, Create Reservation, Get Equipment, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Boathouse Connect through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Boathouse Connect app connector for Vercel AI SDK is a standout in the Erp Operations category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Boathouse Connect, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Boathouse Connect MCP Server
Connect your Boathouse Connect account to any AI agent and manage your marina or rowing club operations through natural conversation.
The Vercel AI SDK gives every Boathouse Connect tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Reservation Management — List all reservations, inspect individual bookings, and create new equipment reservations
- Equipment Inventory — Browse the complete inventory of rowing shells, oars, and gear with availability status
- Member Directory — List all club members and view detailed profiles with contact info and membership tier
- Location Management — View all boathouse and marina locations configured in the system
- Schedule Access — List all practice and event schedules for the organization
- Health Check — Verify API connectivity and account status
The Boathouse Connect MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 Boathouse Connect tools available for Vercel AI SDK
When Vercel AI SDK connects to Boathouse Connect through Vinkius, your AI agent gets direct access to every tool listed below — spanning marina-management, reservation-system, inventory-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify API connectivity
Create a reservation
Get equipment details
Get reservation details
Get member details
List all equipment
List all locations
List all reservations
List all schedules
List all members
Connect Boathouse Connect to Vercel AI SDK via MCP
Follow these steps to wire Boathouse Connect into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Boathouse Connect MCP Server
Vercel AI SDK provides unique advantages when paired with Boathouse Connect through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Boathouse Connect integration everywhere
Built-in streaming UI primitives let you display Boathouse Connect tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Boathouse Connect + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Boathouse Connect MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Boathouse Connect in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Boathouse Connect tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Boathouse Connect capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Boathouse Connect through natural language queries
Example Prompts for Boathouse Connect in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Boathouse Connect immediately.
"List all available rowing equipment."
"Book the single 'Resolute' for member usr_1029 on 2026-05-01 at 6AM."
"Show me all club locations."
Troubleshooting Boathouse Connect MCP Server with Vercel AI SDK
Common issues when connecting Boathouse Connect to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBoathouse Connect + Vercel AI SDK FAQ
Common questions about integrating Boathouse Connect MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.