How to Use the Buk MCP in Vercel AI SDK

Q: How do I fetch Buk payroll stats in Vercel AI SDK?

Use the getpayroll tool within your tool call configuration. Your agent will pull the snapshot and you can stream the result directly to your UI.

Q: Can Buk tools trigger actions in Vercel AI SDK?

Yes, your agent can call approveleave or createemployee directly. Just define them in your tool array and let the model decide when to execute.

Q: How do I list departments using Buk and Vercel AI SDK?

Call listdepartments from your agent logic. The response is passed back as a typed object you can map directly to your interface components.

Stream Buk HR data directly into your Vercel AI SDK frontends for live, real-time employee metrics and payroll insights.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Buk MCP to Vercel AI SDK

Create your Vinkius account to connect Buk 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 Buk with Vercel AI SDK

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Live payroll and attendance tracking

Pipe live HR metrics into your Next.js UI using `get_payroll` and `get_attendance`. Your users see the data flow instantly as the model generates the response. Stop waiting for spinners. The Vercel AI SDK handles the stream so your dashboard updates while the model is still thinking.

Manage Buk entities in your Vercel AI SDK app

Onboard or offboard staff by triggering `create_employee` and `delete_employee` through your edge functions. It keeps your database and your HR system in sync without manual data entry. Code your logic to handle these events as the agent processes user requests. It turns your interface into a command center for your entire organization.

Query Buk departments with an MCP Server

Pull complex organizational structures using `list_departments` or `get_department`. Your frontend components render these hierarchies in real-time as the agent gathers the facts. This MCP Server provides the raw data your React components need to display accurate company charts. It handles the heavy lifting of data fetching while you focus on the visual layout.

Setup guide

Set up Buk 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 Buk 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 Buk transactions",
});

console.log(text);
await mcpClient.close();

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Buk. 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

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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.

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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 Buk MCP in Vercel AI SDK

Use the `get_payroll` tool within your tool call configuration. Your agent will pull the snapshot and you can stream the result directly to your UI.

Yes, your agent can call `approve_leave` or `create_employee` directly. Just define them in your tool array and let the model decide when to execute.

Your HR data is transmitted over encrypted channels only when your agent requests it. We don't store your sensitive employee records on our servers.

Call `list_departments` from your agent logic. The response is passed back as a typed object you can map directly to your interface components.

The MCP protocol returns a standard error code to your agent. You should handle these errors in your tool call block to provide feedback to the user.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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