Buddy Punch MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Create Employee, List Employees, List Pay Periods, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Buddy Punch 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 Buddy Punch app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 6 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 Buddy Punch, 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 Buddy Punch MCP Server
Connect your Buddy Punch (Enterprise) account to any AI agent and take full control of your workforce time tracking and automated payroll workflows through natural conversation.
The Vercel AI SDK gives every Buddy Punch tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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
- Punch Orchestration — Programmatically perform high-fidelity punch-in and punch-out actions for employees, including adding descriptive metadata and shift notes in real-time
- Workforce Visibility — List and manage employee profiles and administrative settings programmatically to maintain a perfectly coordinated organizational structure
- Time Entry Intelligence — Retrieve detailed high-fidelity time cards and entry history by pay period to coordinate payroll data collection directly through your agent
- Schedule Monitoring — Access and monitor work schedules and published shift updates to oversee team distribution and labor capacity efficiently
- Pay Cycle Management — Retrieve complete directories of defined pay periods and historical cycles to maintain high-fidelity financial records
The Buddy Punch MCP Server exposes 6 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 6 Buddy Punch tools available for Vercel AI SDK
When Vercel AI SDK connects to Buddy Punch through Vinkius, your AI agent gets direct access to every tool listed below — spanning time-tracking, attendance-monitoring, gps-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.
Create a new employee
List all employees
List pay periods
List time entries
List work schedules
Perform a punch action
Connect Buddy Punch to Vercel AI SDK via MCP
Follow these steps to wire Buddy Punch 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 Buddy Punch MCP Server
Vercel AI SDK provides unique advantages when paired with Buddy Punch 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 Buddy Punch integration everywhere
Built-in streaming UI primitives let you display Buddy Punch 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
Buddy Punch + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Buddy Punch MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Buddy Punch in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Buddy Punch tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Buddy Punch capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Buddy Punch through natural language queries
Example Prompts for Buddy Punch in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Buddy Punch immediately.
"List all active employees in my Buddy Punch account."
"Punch in employee '1024' with the note 'Starting early morning shift'."
"Show the time entries for the current pay period."
Troubleshooting Buddy Punch MCP Server with Vercel AI SDK
Common issues when connecting Buddy Punch to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBuddy Punch + Vercel AI SDK FAQ
Common questions about integrating Buddy Punch 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.