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 CrewAI 10 tools — connect in under 2 minutes

Name: KeyPay
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to KeyPay through Vinkius, pass the Edge URL in the `mcps` parameter and every KeyPay tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="KeyPay Specialist",
    goal="Help users interact with KeyPay effectively",
    backstory=(
        "You are an expert at leveraging KeyPay tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in KeyPay "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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 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.

When paired with CrewAI, KeyPay becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call KeyPay tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from KeyPay

Why Use CrewAI with the KeyPay MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with KeyPay through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

KeyPay + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries KeyPay for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries KeyPay, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain KeyPay tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries KeyPay against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

KeyPay MCP Tools for CrewAI (10)

These 10 tools become available when you connect KeyPay to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

KeyPay + CrewAI FAQ

Common questions about integrating KeyPay MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.