How do I get API access for BrioHR?

You must reach out to the BrioHR support team at support@briohr.com. They will provide your credentials and require your IP addresses for whitelisting before you can connect.

Can my AI automatically list all active job postings?

Yes! Use the `list_job_postings` tool. Your agent will retrieve all current vacancies from your BrioHR recruitment module, including titles and IDs.

How do I retrieve the payroll summary for a specific month?

Use the `get_payroll_summary` tool with the month (MM) and year (YYYY). The agent will return the headcount and total calculations for that period.

BrioHR MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: BrioHR
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect BrioHR 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({
        "briohr": {
            "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 BrioHR, 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 BrioHR MCP Server

Connect your AI agents to BrioHR, the all-in-one HR software designed to simplify the management of your greatest asset: your people. This MCP provides 10 tools to automate HR data orchestration, from employee record synchronization and leave monitoring to claim report retrieval and recruitment oversight.

LangChain's ecosystem of 500+ components combines seamlessly with BrioHR through native MCP adapters. Connect 10 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 Insights — Download main information for all employees and retrieve detailed individual profiles including roles and departments
Time-Off Orchestration — Monitor who is away within specific date ranges and retrieve detailed leave requests for any employee
Financial Integration — Access approved claim reports for external payroll/accounting syncing and monitor monthly payroll summaries
Talent Acquisition — List active job postings and monitor candidates through the recruitment pipeline
Performance & Org — Track performance appraisal cycles and inspect organizational department structures

The BrioHR MCP Server exposes 10 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 BrioHR to LangChain via MCP

Follow these steps to integrate the BrioHR 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 10 tools from BrioHR via MCP

Why Use LangChain with the BrioHR MCP Server

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

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

BrioHR + LangChain Use Cases

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

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

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

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

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

BrioHR MCP Tools for LangChain (10)

These 10 tools become available when you connect BrioHR to LangChain via MCP:

get_employee_details

Get detailed profile for a specific employee

get_payroll_summary

Get payroll overview for a specific month

get_who_is_away

List employees who are currently away or scheduled for leave

list_claim_reports

Retrieve approved claim reports for payroll integration

list_departments

List organizational departments

list_employees

Download the main information for all employees

list_job_candidates

List candidates for a specific job

list_job_postings

List active job openings in the recruitment module

list_leave_requests

Retrieve leave requests for an employee

list_performance_appraisals

List performance review cycles

Example Prompts for BrioHR in LangChain

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

"Who is away in my company between 2024-05-01 and 2024-05-15?"

"List all active job postings in my BrioHR account."

"Show the payroll summary for January 2024."

Troubleshooting BrioHR MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

BrioHR + LangChain FAQ

Common questions about integrating BrioHR 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.