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 CrewAI 10 tools — connect in under 2 minutes

Name: BrioHR
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to BrioHR through Vinkius, pass the Edge URL in the `mcps` parameter and every BrioHR tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="BrioHR Specialist",
    goal="Help users interact with BrioHR effectively",
    backstory=(
        "You are an expert at leveraging BrioHR tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in BrioHR "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, BrioHR becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call BrioHR tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from BrioHR

Why Use CrewAI with the BrioHR MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with BrioHR through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

BrioHR + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries BrioHR for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries BrioHR, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain BrioHR tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries BrioHR against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

BrioHR MCP Tools for CrewAI (10)

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

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

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

BrioHR + CrewAI FAQ

Common questions about integrating BrioHR MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.