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BrioHR MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect BrioHR through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

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

main();
BrioHR
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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 BrioHR MCP Server

Connect your AI agents to BrioHR, the all-in-one HR software designed to simplify the management of your greatest asset: your people. This MCP provides 10 tools to automate HR data orchestration, from employee record synchronization and leave monitoring to claim report retrieval and recruitment oversight.

The Vercel AI SDK gives every BrioHR tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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 Insights — Download main information for all employees and retrieve detailed individual profiles including roles and departments
  • Time-Off Orchestration — Monitor who is away within specific date ranges and retrieve detailed leave requests for any employee
  • Financial Integration — Access approved claim reports for external payroll/accounting syncing and monitor monthly payroll summaries
  • Talent Acquisition — List active job postings and monitor candidates through the recruitment pipeline
  • Performance & Org — Track performance appraisal cycles and inspect organizational department structures

The BrioHR MCP Server exposes 10 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.

How to Connect BrioHR to Vercel AI SDK via MCP

Follow these steps to integrate the BrioHR MCP Server with Vercel AI SDK.

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 10 tools from BrioHR and passes them to the LLM

Why Use Vercel AI SDK with the BrioHR MCP Server

Vercel AI SDK provides unique advantages when paired with BrioHR 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 BrioHR integration everywhere

03

Built-in streaming UI primitives let you display BrioHR 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

BrioHR + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

BrioHR MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect BrioHR to Vercel AI SDK via MCP:

01

get_employee_details

Get detailed profile for a specific employee

02

get_payroll_summary

Get payroll overview for a specific month

03

get_who_is_away

List employees who are currently away or scheduled for leave

04

list_claim_reports

Retrieve approved claim reports for payroll integration

05

list_departments

List organizational departments

06

list_employees

Download the main information for all employees

07

list_job_candidates

List candidates for a specific job

08

list_job_postings

List active job openings in the recruitment module

09

list_leave_requests

Retrieve leave requests for an employee

10

list_performance_appraisals

List performance review cycles

Example Prompts for BrioHR in Vercel AI SDK

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

01

"Who is away in my company between 2024-05-01 and 2024-05-15?"

02

"List all active job postings in my BrioHR account."

03

"Show the payroll summary for January 2024."

Troubleshooting BrioHR MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

BrioHR + Vercel AI SDK FAQ

Common questions about integrating BrioHR 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.

Connect BrioHR to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.