How to Use the Lucca (HR & Finance Suite) MCP in CrewAI

Q: Can a CrewAI team manage both expenses and leaves using the Lucca (HR & Finance Suite) MCP Server?

Yes. You can assign the Cleemy tools like listexpenseclaims to your financial agent, and the Timmi tools like getleavebalances to your HR operations agent, allowing them to collaborate on administrative tasks.

Q: How does CrewAI ensure my company's financial records remain private?

All financial data retrieved via listexpensereports is processed in transit. Vinkius runs the integration within a zero-trust V8 sandbox, ensuring your Cleemy expense records are never cached, stored, or exposed to external models.

Run autonomous HR operations using CrewAI to coordinate multi-agent teams for Lucca expense audits and leave tracking.

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Connect Lucca (HR & Finance Suite) MCP to CrewAI

Create your Vinkius account to connect Lucca (HR & Finance Suite) to CrewAI 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 CrewAI

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Multi-Agent Expense Auditing with CrewAI

The `list_expense_reports` tool allows your CrewAI finance agent to gather all recent Cleemy submissions. A second auditing agent then takes those reports and calls `list_expense_claims` to check specific line items. They work in tandem, sharing memory to flag suspicious claims or double-billing issues without human intervention. You configure this by passing the Vinkius HTTP URL directly into the agent's `mcps` array. Because CrewAI supports hierarchical execution, a manager agent can coordinate the entire process, assigning lookups to specialized sub-agents and compiling a clean audit summary.

Automated Leave and Capacity Planning

The `list_leaves` tool retrieves upcoming absences from Timmi, enabling your planning crew to map out team availability. One agent pulls the pending leave requests while another calls `list_departments` to see which teams will be short-staffed. They collaborate to highlight scheduling conflicts before approvals are finalized. To keep the agents focused, you can use `MCPServerHTTP` with a `tool_filter` to expose only the necessary tools. For instance, you can limit the planning crew to `get_leave_balances` and lock them out of sensitive financial data, keeping your security posture tight.

Autonomous Directory Synchronization

The `list_users` tool gives your directory sync crew the ability to reconcile internal databases with Lucca. The research agent pulls the full list of employees, while the database agent calls `get_user` to extract deep profile attributes for any newly hired staff. This setup runs headless in your CI/CD pipelines or background workers. By using the standard CrewAI python package, you connect your agents to the Vinkius MCP Server over secure SSE or HTTP. The crew executes its tasks sequentially, passing the verified user records down the chain until the sync is complete.

Setup guide

Set up Lucca (HR & Finance Suite) MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Lucca (HR & Finance Suite) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Lucca (HR & Finance Suite) Analyst",
    goal="Access and analyze Lucca (HR & Finance Suite) data via MCP.",
    backstory="Expert analyst with direct Lucca (HR & Finance Suite) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Lucca (HR & Finance Suite) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Lucca (HR & Finance Suite) Analyst",
        goal="Access and analyze Lucca (HR & Finance Suite) data via MCP.",
        backstory="Expert analyst with direct Lucca (HR & Finance Suite) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Lucca (HR & Finance Suite) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Lucca. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Lucca (HR & Finance Suite) MCP in CrewAI

You can pass the Vinkius server URL directly in your Agent's `mcps` list. For more granular control, use `MCPServerHTTP` from `crewai.mcp` and specify a `tool_filter` to restrict access to tools like `list_timesheets`.

Yes. You can assign the Cleemy tools like `list_expense_claims` to your financial agent, and the Timmi tools like `get_leave_balances` to your HR operations agent, allowing them to collaborate on administrative tasks.

CrewAI agents use shared memory. When the researcher agent calls `get_user`, the retrieved employee details are immediately available to the analyst agent for calculating capacity or auditing timesheets.

The integration supports stdio, SSE, and Streamable HTTP transports. Vinkius provides a single MCP token that handles the transport layer automatically.

All financial data retrieved via `list_expense_reports` is processed in transit. Vinkius runs the integration within a zero-trust V8 sandbox, ensuring your Cleemy expense records are never cached, stored, or exposed to external models.

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