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

Q: How do I register Lucca (HR & Finance Suite) tools with my AutoGen agents?

Install autogen-extmcp and use the mcpservertools helper with your Vinkius HTTP URL. Pass the generated tools list directly to your AssistantAgent constructor.

Q: Can AutoGen agents negotiate approvals for Lucca (HR & Finance Suite) expense reports?

Yes, you can set up a group chat where one agent reviews listexpensereports and another checks budgets. They debate discrepancies until they reach consensus on approval.

Q: How do AutoGen agents handle conflicting data between Lucca (HR & Finance Suite) timesheets and leaves?

Your agents can cross-reference listtimesheets against listleaves in a structured conversation. If a conflict is found, a coordinator agent can flag it or ask the user for clarification.

Build multi-agent AutoGen conversations that debate and verify Lucca HR records and expense claim approvals.

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Connect Lucca (HR & Finance Suite) MCP to AutoGen

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

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Multi-agent consensus on Lucca expense claims

Set up an AutoGen debate where a finance agent reviews `list_expense_claims` while an HR compliance agent cross-checks user details with `get_user`. These AutoGen agents negotiate whether a Lucca claim matches company policy before finalizing approval. This collaborative AutoGen approach catches errors in Lucca records that single-agent systems miss. You build AutoGen workflows where agents challenge each other's interpretations of Cleemy expense reports.

Automated timesheet and leave auditing

Let an AutoGen scheduling agent pull active leave records using `list_leaves` while a performance agent queries `list_timesheets`. They coordinate to flag missing hours or overlapping Lucca vacation requests. The AutoGen conversation resolves conflicts automatically before pushing Lucca data to payroll via the MCP connection. By using multiple AutoGen perspectives, the system ensures high accuracy without manual Lucca HR intervention.

Department-wide directory synchronization

Use `list_departments` and `list_users` to keep your multi-agent AutoGen system updated on Lucca corporate hierarchy. An AutoGen coordinator agent queries these endpoints to assign tasks to specific Lucca department representatives. Integrating this MCP Server allows your AutoGen agents to dynamically resolve who reports to whom in Lucca. The AutoGen adapter handles all schema conversions, converting Lucca API responses into clean agent-ready formats.

Setup guide

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

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Lucca (HR & Finance Suite) tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Lucca (HR & Finance Suite)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Lucca (HR & Finance Suite) data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Lucca (HR & Finance Suite)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Lucca (HR & Finance Suite) data")
    print(result.messages[-1].content)

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 AutoGen

Install `autogen-ext[mcp]` and use the `mcp_server_tools` helper with your Vinkius HTTP URL. Pass the generated tools list directly to your `AssistantAgent` constructor.

Yes, you can set up a group chat where one agent reviews `list_expense_reports` and another checks budgets. They debate discrepancies until they reach consensus on approval.

Your agents can cross-reference `list_timesheets` against `list_leaves` in a structured conversation. If a conflict is found, a coordinator agent can flag it or ask the user for clarification.

Yes, the adapter supports both transport methods. For cloud deployments, the Streamable HTTP transport is recommended to connect your agents to the Vinkius gateway.

The MCP Server handles all authentication with Lucca securely, exposing only the tools you authorize. Your employee data, including leave balances fetched by `get_leave_balances`, is never stored by the execution environment.

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