How to Use the Lucca (HR & Finance Suite) MCP in OpenAI Agents SDK

Q: Does Lucca (HR & Finance Suite) work with OpenAI Agents SDK tool caching?

Yes. Set cacheToolsList=True during setup to speed up agent performance. This keeps the tool definitions local, so your agent doesn't need to re-fetch the Lucca directory structure every single time.

Connect your Lucca (HR & Finance Suite) data to OpenAI Agents SDK for automated payroll and leave management.

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Connect Lucca (HR & Finance Suite) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Lucca (HR & Finance Suite) to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Lucca (HR & Finance Suite) with OpenAI Agents SDK

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Perplexity

Automate employee data lookups in OpenAI Agents SDK

Stop digging through directories. Use `get_user` and `list_users` to pull precise employee records directly into your agent's memory space. Your agent handles the heavy lifting, mapping UUIDs to specific personnel files without you writing a single manual query.

Sync expense records using this MCP Server

Get clear visibility into corporate spending by running `list_expense_reports` and `list_expense_claims`. This provides your agent with the raw financial data it needs to reconcile accounts. Everything is pulled in real-time, ensuring your reports reflect the current state of Cleemy records without manual exports.

Manage time and leave via OpenAI Agents SDK

Feed your agent accurate data from `list_timesheets` and `list_leaves` to track team availability. The agent processes these Timmi arrays to identify scheduling gaps immediately. Use `get_leave_balances` to verify remaining vacation days, letting the agent provide instant answers about team capacity.

Setup guide

Set up Lucca (HR & Finance Suite) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Lucca (HR & Finance Suite) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Lucca (HR & Finance Suite) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Lucca (HR & Finance Suite) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Lucca (HR & Finance Suite) Agent",
            instructions="You have access to Lucca (HR & Finance Suite) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Lucca (HR & Finance Suite) MCP in OpenAI Agents SDK

You manage security via your endpoint token. Since the MCP Server runs in a V8 sandbox, your agent only accesses the specific HR data you authorize, keeping sensitive records isolated from your main application.

The server maps fields directly from the API. If the underlying HR structure shifts, your agent receives the updated schema immediately, preventing silent failures during your data syncs.

Yes. Set `cacheToolsList=True` during setup to speed up agent performance. This keeps the tool definitions local, so your agent doesn't need to re-fetch the Lucca directory structure every single time.

Currently, these tools focus on fetching data like timesheets and expense reports. You get full visibility into your HRIS, but the agent cannot modify your payroll or leave settings.

Your agent will receive a standard connection error. Since the architecture is decoupled, your agent remains stable while the server handles the retry logic once the connection recovers.

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