In which regions is the KeyPay API available?

KeyPay supports multiple regions including Australia, UK, New Zealand, Singapore, and Malaysia. Make sure to provide the correct region domain during setup.

Can I see my employee's payslips using this agent?

Yes, the `list_pay_slips` tool allows you to retrieve a list of issued payslips for a specific employee within a business.

Is it possible to track leave requests?

Absolutely. Use the `list_leave_requests` tool to fetch all historical and pending leave requests for any of your registered businesses.

KeyPay MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: KeyPay
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect KeyPay through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "keypay": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using KeyPay, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

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DLPData protection

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Ed25519Audit chain

<40msKill switch

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 KeyPay MCP Server

Connect your KeyPay (now Employment Hero Payroll) account to any AI agent to streamline your payroll operations. This MCP server enables your agent to interact with businesses, pay runs, employees, and compliance data directly.

LangChain's ecosystem of 500+ components combines seamlessly with KeyPay through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Payroll Oversight — List and retrieve detailed information for pay runs and earnings
Employee Management — Query employee profiles, payroll configurations, and metadata
Document Access — List issued payslips for specific employees instantly
Leave Tracking — Monitor historical and pending leave requests across your businesses
Compliance & Deductions — Inspect deduction lines and payroll items to ensure accuracy

The KeyPay MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain 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 KeyPay to LangChain via MCP

Follow these steps to integrate the KeyPay MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from KeyPay via MCP

Why Use LangChain with the KeyPay MCP Server

LangChain provides unique advantages when paired with KeyPay through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine KeyPay MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across KeyPay queries for multi-turn workflows

KeyPay + LangChain Use Cases

Practical scenarios where LangChain combined with the KeyPay MCP Server delivers measurable value.

RAG with live data: combine KeyPay tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query KeyPay, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain KeyPay tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every KeyPay tool call, measure latency, and optimize your agent's performance

KeyPay MCP Tools for LangChain (10)

These 10 tools become available when you connect KeyPay to LangChain via MCP:

get_business_details

Get details for a specific business

get_employee_details

Get details for a specific employee

get_pay_run_details

Get details for a specific pay run

list_businesses

List all businesses associated with the account

list_employees

List employees for a business

list_leave_requests

List leave requests for a business

list_pay_run_deductions

List deductions for a specific pay run

list_pay_run_earnings

List earnings for a specific pay run

list_pay_runs

List pay runs for a business

list_pay_slips

List payslips for an employee

Example Prompts for KeyPay in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with KeyPay immediately.

"List all businesses in my KeyPay account."

"Show me the pay runs for business ID '12345'."

"Find employee 'John Smith' in business '12345'."

Troubleshooting KeyPay MCP Server with LangChain

Common issues when connecting KeyPay to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

KeyPay + LangChain FAQ

Common questions about integrating KeyPay MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.