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

Built by Vinkius GDPR 11 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect WebHR through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this App Connector for Mastra AI

The WebHR app connector for Mastra AI 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 { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "webhr": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "WebHR Agent",
    instructions:
      "You help users interact with WebHR " +
      "using 11 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with WebHR?"
  );
  console.log(result.text);
}

main();
WebHR
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Mastra's agent abstraction provides a clean separation between LLM logic and WebHR tool infrastructure. Connect 11 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI

When Mastra AI 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 Mastra AI via MCP

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

01

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

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

Explore tools

Mastra discovers 11 tools from WebHR via MCP

Why Use Mastra AI with the WebHR MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add WebHR without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every WebHR tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

WebHR + Mastra AI Use Cases

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

01

Automated workflows: build multi-step agents that query WebHR, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed WebHR as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query WebHR on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using WebHR tools alongside other MCP servers

Example Prompts for WebHR in Mastra AI

Ready-to-use prompts you can give your Mastra AI 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 Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

WebHR + Mastra AI FAQ

Common questions about integrating WebHR MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.