Can I see my team's vacation balances through my agent?

Yes. Use the `get_leave_balances` tool with a specific User ID. Your agent will retrieve the active leave balances representing vacation arrays globally, including different types of absences (e.g. Paid Leave, RTT) managed in Timmi.

How do I check the individual claims within an expense report?

The `list_expense_claims` tool allows your agent to extract absolute bounded individual claims for a specific Expense Report ID. You'll see precise dates, amounts, and native currency payloads for each item in the report.

Can my agent list all company departments defined in Lucca?

Absolutely. Use the `list_departments` tool to retrieve the strict hierarchical organizational units. Your agent will report the department names and their hierarchy, helping you understand the company's structural boundaries.

Lucca (HR & Finance Suite) MCP Server for LangChain 8 tools — connect in under 2 minutes

Name: Lucca (HR & Finance Suite)
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Lucca (HR & Finance Suite) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "lucca-hr-finance-suite": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Lucca (HR & Finance Suite), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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 Lucca (HR & Finance Suite) MCP Server

Connect your Lucca instance to any AI agent and take full control of your HR and administrative management through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Lucca (HR & Finance Suite) through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Employee Orchestration — List all employees in your HR directory and retrieve detailed profiles including job titles, managers, and hire dates directly from your agent
Leave & Absence (Timmi) — Monitor active leave requests and retrieve precise vacation balances for specific users to manage team availability effectively
Expense Management (Cleemy) — Audit company expense reports and list individual claims to monitor spending, status, and currency distributions securely
Timesheet Monitoring — Extract detailed timesheet chunks within specific date boundaries to understand team work allocations and project logs
Organizational Audit — Enumerate hierarchical company departments and sub-units to map your organization's structural boundaries natively
Diagnostic Investigation — Deep-dive into specific employee UUIDs to retrieve exact metadata mappings required for rapid HR audits and reporting

The Lucca (HR & Finance Suite) MCP Server exposes 8 tools through the Vinkius. Connect it to LangChain 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 Lucca (HR & Finance Suite) to LangChain via MCP

Follow these steps to integrate the Lucca (HR & Finance Suite) MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 8 tools from Lucca (HR & Finance Suite) via MCP

Why Use LangChain with the Lucca (HR & Finance Suite) MCP Server

LangChain provides unique advantages when paired with Lucca (HR & Finance Suite) through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Lucca (HR & Finance Suite) MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Lucca (HR & Finance Suite) queries for multi-turn workflows

Lucca (HR & Finance Suite) + LangChain Use Cases

Practical scenarios where LangChain combined with the Lucca (HR & Finance Suite) MCP Server delivers measurable value.

RAG with live data: combine Lucca (HR & Finance Suite) tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Lucca (HR & Finance Suite), synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Lucca (HR & Finance Suite) tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Lucca (HR & Finance Suite) tool call, measure latency, and optimize your agent's performance

Lucca (HR & Finance Suite) MCP Tools for LangChain (8)

These 8 tools become available when you connect Lucca (HR & Finance Suite) to LangChain via MCP:

get_leave_balances

Pull active strictly bound leave balances representing vacation arrays globally

get_user

Get detailed data mapping a target explicit employee UUID

list_departments

List all departments inside the enterprise company

list_expense_claims

List absolute bounded individual expense claims across a specific mapped report

list_expense_reports

List explicit company expense reports extracting Cleemy mapped targets

list_leaves

List explicitly requested leaves mapping the Timmi Absences application limits

list_timesheets

List explicit matching timesheet chunks mapped in Timmi arrays limits

list_users

List all employees in the Lucca HR directory

Example Prompts for Lucca (HR & Finance Suite) in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Lucca (HR & Finance Suite) immediately.

"List all employees in the 'Engineering' department"

"What are the active leave requests since 2026-03-01?"

"Show me the last 3 expense reports in Cleemy"

Troubleshooting Lucca (HR & Finance Suite) MCP Server with LangChain

Common issues when connecting Lucca (HR & Finance Suite) to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Lucca (HR & Finance Suite) + LangChain FAQ

Common questions about integrating Lucca (HR & Finance Suite) MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.