Bring Marina Management
to Vercel AI SDK
Learn how to connect Boathouse Connect to Vercel AI SDK and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Boathouse Connect MCP Server?
Connect your Boathouse Connect account to any AI agent and manage your marina or rowing club operations through natural conversation.
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
How it works
1. Subscribe to this server
2. Enter your API Token and Whitelabel ID from your Boathouse Connect account
3. Start managing your club from Claude, Cursor, or any MCP client
Who is this for?
- Club Managers — check equipment availability and member reservations without opening the dashboard
- Coaches — review schedules and member rosters directly from the AI assistant
- Operations Staff — create reservations and monitor equipment inventory on the go
Built-in capabilities (10)
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
Why Vercel AI SDK?
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.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Boathouse Connect integration everywhere
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Built-in streaming UI primitives let you display Boathouse Connect tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Boathouse Connect in Vercel AI SDK
Boathouse Connect and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Boathouse Connect to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Boathouse Connect in Vercel AI SDK
The Boathouse Connect 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Boathouse Connect for Vercel AI SDK
Every tool call from Vercel AI SDK to the Boathouse Connect MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can my AI create a new equipment reservation?
Yes. Use the create_reservation tool with the equipment ID, member user ID, date, and time slot. The agent books the equipment and confirms the reservation details.
How do I check equipment availability?
Use list_equipment to see all gear with current availability status, then get_equipment for detailed specs on a specific item. Cross-reference with list_reservations to see upcoming bookings.
Can I view member profiles and membership tiers?
Yes. list_users returns the full member directory, and get_user fetches a detailed profile for any member including contact information, membership tier, and activity status.
How does the Vercel AI SDK connect to MCP servers?
Import 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?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp