How to Use the 7shifts MCP in Vercel AI SDK

Build live restaurant scheduling interfaces directly into your Next.js frontend with the 7shifts Vercel AI SDK integration.

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Connect 7shifts MCP to Vercel AI SDK

Create your Vinkius account to connect 7shifts 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 7shifts with Vercel AI SDK

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Stream 7shifts MCP Server Data Live

Your users don't want to stare at loading spinners while managers pull the weekly schedule. Vercel AI SDK pushes data straight to the browser as it arrives. You call `list_schedules` or `list_shifts`, and the UI updates instantly. Restaurant operators see the shift gaps fill in real-time. Connect this MCP Server to your edge functions, and you get a snappy, responsive workforce tool that feels instantly alive.

Build Interactive Roster UIs

Next.js components can render employee profiles exactly when the LLM decides to fetch them. The agent hits `list_employees` and follows up with `get_employee` to grab specific contact details. Your frontend renders the staff cards before the model even finishes its thought. You can also handle write operations without breaking the chat flow. A manager asks the assistant to add a new line cook. The agent fires `create_employee`, assigns the ID from `list_roles`, and the new hire appears right there in the chat interface.

Live Time Punch Monitoring

Late clock-ins kill restaurant margins. Exposing `list_time_punches` to your Vercel AI SDK agent lets you build dashboards that react to labor anomalies immediately. The model checks the punches against scheduled hours. Combine this with `list_departments` to filter the data by front-of-house or kitchen staff. Your frontend streams a live breakdown of labor costs, giving operators the exact numbers they need to cut people early if the floor gets quiet.

Setup guide

Set up 7shifts 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 7shifts 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 7shifts 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 7shifts. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about 7shifts MCP in Vercel AI SDK

Pass the 7shifts tools to streamText. You initialize the client with createMCPClient, call mcpClient.tools, and feed that straight into your generation call.

Yes. The SDK handles the streaming state while the server talks to the API. Your users can type queries about the roster and see the actual shift data render in their React components.

Always call mcpClient.close when your edge function finishes. Dangling connections will eat up your resources fast.

The SDK catches the error and returns it in the tool result block. You can render a fallback UI component so the user knows the API rejected their shift creation attempt.

We isolate your connection inside a V8 sandbox that dies the second your session ends. The server reads sensitive PII like worker contact info and time punches, but Vinkius stores absolutely nothing. Your endpoint token is the only thing validating the request.

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