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 LlamaIndex 10 tools — connect in under 2 minutes

Name: BrioHR
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add BrioHR as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to BrioHR. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in BrioHR?"
    )
    print(response)

asyncio.run(main())

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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.

LlamaIndex agents combine BrioHR tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

Follow these steps to integrate the BrioHR MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from BrioHR

Why Use LlamaIndex with the BrioHR MCP Server

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

Data-first architecture: LlamaIndex agents combine BrioHR tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain BrioHR tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query BrioHR, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what BrioHR tools were called, what data was returned, and how it influenced the final answer

BrioHR + LlamaIndex Use Cases

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

Hybrid search: combine BrioHR real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query BrioHR to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying BrioHR for fresh data

Analytical workflows: chain BrioHR queries with LlamaIndex's data connectors to build multi-source analytical reports

BrioHR MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect BrioHR to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

BrioHR + LlamaIndex FAQ

Common questions about integrating BrioHR MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query BrioHR tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.