How to Use the BrioHR MCP in AutoGen

Q: Can multiple AutoGen agents use BrioHR tools simultaneously?

Yes, different agents in your group chat can call getemployeedetails or listdepartments as needed. The framework manages tool execution and shares the results across the conversation.

Q: How does AutoGen handle BrioHR tool execution errors?

If a tool like listperformanceappraisals returns an error, the executing agent communicates the failure to the group. The coordinator agent then decides whether to retry or adjust the workflow.

Let your AutoGen agents debate and coordinate HR tasks using the BrioHR MCP Server.

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Connect BrioHR MCP to AutoGen

Create your Vinkius account to connect BrioHR to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup BrioHR with AutoGen

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Let agents coordinate BrioHR recruiting tasks

The `list_job_candidates` tool feeds applicant data to your AutoGen recruiting agent for initial screening. A separate hiring agent then queries `list_job_postings` to match those candidates to active roles. These agents discuss the matches in a group chat to flag potential hiring bottlenecks. They reach a consensus on which candidates to prioritize before presenting the final list to you.

Resolve leave conflicts via multi-agent debate

The `get_who_is_away` tool provides a real-time list of absent staff to your scheduling agents. When a new request comes in, a validation agent calls `list_leave_requests` to check for department coverage. If two critical team members request the same days off, the agents debate alternative schedules. They resolve the conflict autonomously and present an optimized coverage plan.

Audit payroll and claim data using this MCP Server

The `get_payroll_summary` tool allows a financial agent to pull monthly payroll numbers for analysis. A compliance agent simultaneously runs `list_claim_reports` to verify that all approved expenses match the payroll run. The two agents cross-examine the records to find anomalies or missing documentation. You receive a structured audit report only after both agents agree on the calculations.

Setup guide

Set up BrioHR MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes BrioHR tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="BrioHR_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent BrioHR data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="BrioHR_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent BrioHR data")
    print(result.messages[-1].content)

Get your connection token →

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 AutoGen

Use the AutoGen MCP tool adapter to convert the server schema and pass the tools to your AssistantAgent. This lets agents call `list_employees` during their conversational workflows.

Yes, different agents in your group chat can call `get_employee_details` or `list_departments` as needed. The framework manages tool execution and shares the results across the conversation.

If a tool like `list_performance_appraisals` returns an error, the executing agent communicates the failure to the group. The coordinator agent then decides whether to retry or adjust the workflow.

This MCP Server runs on Vinkius with full support for streamable HTTP connections. Your agents connect instantly using a single endpoint token without complex local setup.

Vinkius secures all transactions inside isolated V8 sandboxes to keep your leave requests and candidate profiles confidential. Your API tokens are encrypted and never shared with the agents executing the tools.

Use it with your favorite AI tools

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