How to Use the Buddy Punch MCP in Vercel AI SDK

Q: How do I connect Buddy Punch to my Vercel AI SDK project?

Install @ai-sdk/mcp and use createMCPClient pointing to your Vinkius endpoint. Pass the tools array to streamText or generateText and remember to call mcpClient.close() when the execution finishes.

Stream shift updates and live clock-ins directly from Buddy Punch to your Next.js frontend using the Vercel AI SDK.

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Connect Buddy Punch MCP to Vercel AI SDK

Create your Vinkius account to connect Buddy Punch 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 Buddy Punch with Vercel AI SDK

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Claude

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Real-time punch state streaming in Next.js

The `punch_in_out` tool lets your Vercel AI SDK application trigger immediate clock-ins and clock-outs without waiting for slow API polling. By feeding this tool directly into your streaming UI, workers see their status change from off-duty to clocked-in the millisecond the server registers the event. You build this by passing the MCP server tools directly to `streamText`. This keeps your edge functions fast and prevents users from staring at dead loading spinners while their punch records process.

Direct UI rendering for schedules and pay periods

Your AI client uses `list_work_schedules` and `list_pay_periods` to fetch shift structures and payroll timelines on demand. Instead of dumping raw JSON onto the screen, the Vercel AI SDK streams these structured results straight into React components. Employees get a clean, rendered calendar of their shifts as the model processes the data. This removes the need for custom API endpoints on your backend since the frontend handles the rendering live.

Instant timesheet lookups with Vercel AI SDK

The `list_time_entries` and `list_employees` tools allow your agent to fetch active timesheets and match them to specific workers. This lets your chat interface pull up hours worked for any team member instantly when a manager asks. The model calls this MCP Server directly from your edge middleware to keep latency low. You get clean, typed data piped straight to the client without setting up a dedicated database sync.

Setup guide

Set up Buddy Punch 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 Buddy Punch 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 Buddy Punch 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 Buddy Punch. 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

Live

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

One

place for every integration

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

Common questions about Buddy Punch MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and use `createMCPClient` pointing to your Vinkius endpoint. Pass the tools array to `streamText` or `generateText` and remember to call `mcpClient.close()` when the execution finishes.

Yes, this setup is fully compatible with Vercel Edge Functions. The lightweight V8 isolate execution model ensures your edge runtimes stay under execution time limits.

Vinkius manages the auth provider flow for you. Your application needs a single endpoint token, and the platform securely injects the necessary Buddy Punch credentials on every request.

No, the tools execute asynchronously. Your UI streams text explaining what the agent is doing, and then updates the layout as soon as the tool returns the punch data.

Your timesheet data and GPS punch records remain isolated in our zero-trust sandbox. Vinkius processes requests through ephemeral V8 isolates, meaning no employee records are ever cached or stored on our servers.

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