How do I find my HiBob API Token?

Log in to HiBob as an admin, go to **Settings > Integrations**, and look for the **Service Users** section. Create a new service user or select an existing one to generate and copy the API Token.

Why should I use the 'search_employees' tool?

The `search_employees` tool uses the modern HiBob Search API, which is more powerful than legacy endpoints and supports retrieving custom fields and filtering active/inactive status efficiently.

Can I check who is currently on vacation?

Yes! Use the `get_whos_out` tool by providing a date range. It will return a list of all employees currently on leave or scheduled to be out during those dates.

Is the integration secure for HR data?

Absolutely. The integration uses official HiBob Service User tokens over HTTPS. Your credentials and employee data are encrypted and stored securely within the Vinkius Cloud infrastructure.

HiBob MCP Server for LangChain 11 tools — connect in under 2 minutes

Name: HiBob
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 11 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect HiBob 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({
        "hibob": {
            "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 HiBob, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 HiBob MCP Server

Connect your HiBob HR platform to any AI agent and take full control of your people management and organizational data through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with HiBob through native MCP adapters. Connect 11 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 Search — Perform advanced searches for employees, retrieve full profiles, and access custom fields.
Time Off Oversight — Monitor who is out of the office, check leave balances, and submit new time off requests.
Task Management — List all open HR tasks and mark them as completed directly from the chat interface.
Payroll & Compensation — Access historical payroll data and retrieve detailed compensation packages for employees.
Operational Efficiency — Send welcome invitations to new hires and monitor organizational lists and configurations.
Public Profiles — Quickly retrieve basic contact information for any active member of your organization.

The HiBob MCP Server exposes 11 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 HiBob to LangChain via MCP

Follow these steps to integrate the HiBob 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 11 tools from HiBob via MCP

Why Use LangChain with the HiBob MCP Server

LangChain provides unique advantages when paired with HiBob through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine HiBob 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 HiBob queries for multi-turn workflows

HiBob + LangChain Use Cases

Practical scenarios where LangChain combined with the HiBob MCP Server delivers measurable value.

RAG with live data: combine HiBob tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query HiBob, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain HiBob tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every HiBob tool call, measure latency, and optimize your agent's performance

HiBob MCP Tools for LangChain (11)

These 11 tools become available when you connect HiBob to LangChain via MCP:

complete_task

Mark a specific task as completed

get_employee_compensation

Get detailed salary and benefit information for an employee

get_leave_balance

Get the leave balance for a specific employee

get_payroll_history

Retrieve platform payroll history

get_whos_out

List employees on leave for a specific date range

invite_employee

Send a welcome invitation to a new employee

list_company_settings_lists

List custom dropdown and configuration lists used in the platform

list_open_tasks

List all pending tasks across the company

list_public_profiles

List basic contact information for all active employees

request_time_off

Pass the payload as a JSON string in "request_json" (requires policyType, startDate, endDate). Submit a new time off request for an employee

search_employees

Pass search criteria as a JSON string in "search_json". Returns active employees by default. Search for employees using filters and retrieve profiles

Example Prompts for HiBob in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with HiBob immediately.

"Search for employees in the 'Engineering' department."

"Check who is out of the office this week."

"Show my open HR tasks and complete ID 'task_992'."

Troubleshooting HiBob MCP Server with LangChain

Common issues when connecting HiBob to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

HiBob + LangChain FAQ

Common questions about integrating HiBob 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.