How to Use the BrioHR MCP in Vercel AI SDK

Pull payroll and HR data into your Vercel AI SDK frontends. Build live interfaces that show employee records as they load.

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Connect BrioHR MCP to Vercel AI SDK

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

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Real-time employee data in your UI

Feed `get_employee_details` results directly into your React components to display live staff info. Your users see profiles populate instantly without waiting for backend requests to finish. Streaming data updates the UI as the MCP Server pushes information. You stop forcing users to stare at spinners while the agent fetches data.

Automate payroll and claim reporting

Connect `list_claim_reports` to your internal dashboards to track spending without manual exports. You get the data exactly when you need it for your financial views. This setup keeps your Vercel AI SDK app synced with BrioHR records. You handle the logic in the frontend while the server manages the heavy lifting.

Manage leave schedules inside your app

Query `get_who_is_away` to show real-time team availability in your application. Your interface updates automatically when the agent receives the current leave list. Building this into your site helps teams plan better. You control the presentation while the server handles the HR data fetching logic.

Setup guide

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

Built-in savings

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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 BrioHR MCP in Vercel AI SDK

Install the package and point your client to our endpoint. Use the createMCPClient function to initialize the connection and pass the tools into your streamText call.

Yes, it streams directly. You get the tool results as they arrive, allowing you to render tables or cards in your UI without delay.

We use encrypted transports for every request. Your agent only sees the specific employee records you explicitly request via the tools.

The server returns an error code that your app handles like any standard fetch. You can show a fallback message or retry the call immediately.

Only the output of the tools you call is shared. We keep your database private, exposing only the specific employee profiles or leave requests you need to display.

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