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WebHR MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Get Attendance Summary, Get Employee Details, List Attendance Logs, and more

Built by Vinkius GDPR 11 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect WebHR 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 WebHR app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
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 WebHR, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
WebHR
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* 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 WebHR MCP Server

Connect your WebHR account to any AI agent to automate your human resource management and personnel tracking. WebHR provides a comprehensive cloud-based HRMS for managing the entire employee lifecycle—from recruitment and onboarding to attendance monitoring and leave management.

The Vercel AI SDK gives every WebHR tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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

  • Employee Orchestration — List and retrieve detailed metadata for all staff records, including personal profiles and department hierarchies.
  • Attendance Monitoring — Access real-time clock-in/out records and retrieve aggregated attendance summaries for your organization.
  • Leave Management — Track leave requests, monitor balance details, and list different leave types available in your system.
  • Recruitment Control — Monitor open job postings, list active candidates, and manage the recruitment pipeline programmatically.
  • Structural Oversight — Access company locations and department definitions to maintain a clear overview of your organizational structure.

The WebHR MCP Server exposes 11 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 11 WebHR tools available for Vercel AI SDK

When Vercel AI SDK connects to WebHR through Vinkius, your AI agent gets direct access to every tool listed below — spanning employee-management, attendance-tracking, recruitment, 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.

get_attendance_summary

Get aggregated attendance metrics

get_employee_details

Get details for an employee

list_attendance_logs

List clock-in/out records

list_available_leave_types

List categories of leave

list_company_departments

g. Sales, Engineering). List organizational departments

list_employees

List organization employees

list_job_candidates

List applicants for positions

list_job_postings

List open job positions

list_job_requests

List internal job requisitions

list_leave_requests

List employee leave history

list_office_locations

List company offices

Connect WebHR to Vercel AI SDK via MCP

Follow these steps to wire WebHR into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 11 tools from WebHR and passes them to the LLM

Why Use Vercel AI SDK with the WebHR MCP Server

Vercel AI SDK provides unique advantages when paired with WebHR through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same WebHR integration everywhere

03

Built-in streaming UI primitives let you display WebHR tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

WebHR + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the WebHR MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query WebHR in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate WebHR tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed WebHR capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with WebHR through natural language queries

Example Prompts for WebHR in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with WebHR immediately.

01

"Check the status of our open 'Senior Frontend Engineer' job posting and list all the active candidates currently in the pipeline."

02

"Retrieve all pending leave requests for the Engineering department and check the available vacation balance for 'Marcus Johnson'."

03

"Generate an attendance summary for the New York office to see how many employees clocked in late this week."

Troubleshooting WebHR MCP Server with Vercel AI SDK

Common issues when connecting WebHR to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

WebHR + Vercel AI SDK FAQ

Common questions about integrating WebHR MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.