KeyPay MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add KeyPay as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to KeyPay. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in KeyPay?"
)
print(response)
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.
LlamaIndex agents combine KeyPay tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the KeyPay MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the KeyPay MCP Server
LlamaIndex provides unique advantages when paired with KeyPay through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine KeyPay tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain KeyPay tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query KeyPay, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what KeyPay tools were called, what data was returned, and how it influenced the final answer
KeyPay + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the KeyPay MCP Server delivers measurable value.
Hybrid search: combine KeyPay real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query KeyPay to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying KeyPay for fresh data
Analytical workflows: chain KeyPay queries with LlamaIndex's data connectors to build multi-source analytical reports
KeyPay MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect KeyPay to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting KeyPay to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpKeyPay + LlamaIndex FAQ
Common questions about integrating KeyPay MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect KeyPay with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.