How to Use the Tock Reservations MCP in Vercel AI SDK
View Tock Reservations data instantly in your frontend using Vercel AI SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Tock Reservations MCP to Vercel AI SDK
Create your Vinkius account to connect Tock Reservations 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.
Displaying Reservation Status Live
When a user clicks to check booking details, the agent calls `get_reservation_details`. You stream the full content and current status right into your React component. This lets users see data appear in real-time, without waiting for a traditional loading spinner. It's critical for frontends: knowing the exact status of a reservation means you can build better user experiences that feel immediate and responsive.
Monitoring Business Health on Demand
Want to show a dashboard summary? Use `get_business_performance_metrics` to fetch key performance indicators for any venue. You get the raw numbers—like total bookings or guest counts—and stream them directly into your UI. This makes building operational dashboards fast. Need a quick overview of all managed locations? Calling `list_managed_businesses` gives you a list of every venue, letting your client populate a map view instantly.
Listing Guest and Event Data Streams
If you need to display who's coming or what's happening next, the agent handles it. It can pull all guests using `list_business_guests` or list upcoming events with `list_business_special_events`. The results stream in, letting your frontend render lists as they arrive. You also track future capacity by calling `list_future_scheduled_reservations`, ensuring the user sees immediate updates on availability.
Set up Tock Reservations MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith 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 Tock Reservations tools. Pass them directly togenerateText()orstreamText()— 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.
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 Tock Reservations transactions",
});
console.log(text);
await mcpClient.close(); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Tock Reservations. 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 Tock Reservations MCP in Vercel AI SDK
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