KeyPay MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect KeyPay through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to KeyPay "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in KeyPay?"
)
print(result.data)
asyncio.run(main())
* 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.
Pydantic AI validates every KeyPay tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the KeyPay MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from KeyPay with type-safe schemas
Why Use Pydantic AI with the KeyPay MCP Server
Pydantic AI provides unique advantages when paired with KeyPay through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your KeyPay integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your KeyPay connection logic from agent behavior for testable, maintainable code
KeyPay + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the KeyPay MCP Server delivers measurable value.
Type-safe data pipelines: query KeyPay with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple KeyPay tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query KeyPay and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock KeyPay responses and write comprehensive agent tests
KeyPay MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect KeyPay to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting KeyPay to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiKeyPay + Pydantic AI FAQ
Common questions about integrating KeyPay MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect KeyPay with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect KeyPay to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.