How to Use the BrioHR MCP in CrewAI
Deploy a CrewAI team to manage BrioHR. Let specialized agents handle recruitment, payroll, and leave requests as a unit.
Works with every AI agent you already use
…and any MCP-compatible client
Connect BrioHR MCP to CrewAI
Create your Vinkius account to connect BrioHR to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Specialized agents for BrioHR tasks
Assign `list_job_candidates` to your research agent while a second agent processes the results. They share memory to ensure the team stays coordinated on the recruitment pipeline. You build autonomous operations where each agent plays a specific role. This setup reduces the time spent on manual HR coordination.
Hierarchical HR execution in CrewAI
Set a manager agent to review `list_performance_appraisals` before taking action. The crew follows your defined sequence, ensuring the right person checks the data first. This structure prevents errors in your HR processes. You define the hierarchy, and the agents execute the steps exactly as you configured them.
Autonomous monitoring with an MCP Server
Let a monitor agent check `list_leave_requests` every hour to update your internal logs. If it finds new data, it alerts the moderator agent to log the change. Your agents operate without you needing to trigger them. This keeps your records current without requiring your constant attention.
Set up BrioHR MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke BrioHR tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="BrioHR Analyst",
goal="Access and analyze BrioHR data via MCP.",
backstory="Expert analyst with direct BrioHR access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent BrioHR transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="BrioHR Analyst",
goal="Access and analyze BrioHR data via MCP.",
backstory="Expert analyst with direct BrioHR access.",
tools=mcp_tools,
)
task = Task(
description="List recent BrioHR transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by BrioHR. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about BrioHR MCP in CrewAI
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