How to Use the WebHR MCP in Vercel AI SDK

Q: Can I check job candidates using WebHR with Vercel AI SDK?

Absolutely. The agent uses the listjobcandidates tool to pull applicant data into your UI. Because of the streaming nature, you can display a large list of applicants quickly and smoothly.

Q: Does WebHR support listing multiple locations?

Yes. The listofficelocations function lets your agent pull all company sites. You'll see the names and addresses streamed directly into your React component.

Show real-time HR data in your React frontends using the Vercel AI SDK.

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Connect WebHR MCP to Vercel AI SDK

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

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Check Attendance Metrics Live

The `get_attendance_summary` tool gives you an aggregated view of attendance metrics. When a user needs to know overall team attendance, your agent streams this summary right into the UI. You can also list specific time records using `list_attendance_logs`. This real-time streaming means users see the data appear instantly, without waiting for a loading spinner.

Find Job Openings in Real Time

Use `list_job_postings` to display open roles directly on your site. The agent retrieves all current job listings and streams them out piece by piece. Need to know who applied? Call `list_job_candidates`. Your client handles the flow, showing applicants as they arrive, making the experience feel immediate.

View Department Structure

The `list_company_departments` tool exposes your company's organizational structure. This allows you to build UIs that map out teams like Sales or Engineering. If a user asks about leaves, the agent can call `list_available_leave_types`. It streams back all leave categories so your front-end renders them instantly.

Setup guide

Set up WebHR 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 WebHR 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 WebHR 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 WebHR. 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.

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Common questions about WebHR MCP in Vercel AI SDK

You pass the MCP Server's endpoint to your client setup. Your agent then uses `mcpClient.tools()` to access all HR functions. Since it streams results, you get instant feedback on every API call.

This MCP Server touches employee records and attendance logs. Specifically, the `get_employee_details` tool handles core personnel information that appears in your application.

Absolutely. The agent uses the `list_job_candidates` tool to pull applicant data into your UI. Because of the streaming nature, you can display a large list of applicants quickly and smoothly.

Yes. The `list_office_locations` function lets your agent pull all company sites. You'll see the names and addresses streamed directly into your React component.

It’s built on a zero-trust, ephemeral architecture via Vinkius. This ensures that the connection remains secure while you stream live HR data into your user's browser.

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