How to Use the BrioHR MCP in Google ADK

Q: Can Google ADK filter which BrioHR tools are exposed?

Yes. You can use the optional toolnames parameter in your McpToolset configuration to restrict access to sensitive tools like payroll or claims.

Q: How does Google ADK handle BrioHR employee details?

The agent invokes getemployeedetails to fetch specific profiles. Gemini can then parse this raw JSON data inside its massive context window for deep analysis.

Connect BrioHR to Google ADK to run deep HR analytics on Gemini with long-context reasoning.

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Connect BrioHR MCP to Google ADK

Create your Vinkius account to connect BrioHR to Google ADK 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 Google ADK

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Run deep HR analytics in Google ADK

Feed your entire organizational chart into Gemini's massive context window. Pulling all departments with `list_departments` and active profiles via `list_employees` gives the model the full picture. This lets you build enterprise agents that combine BrioHR data with BigQuery datasets. Analyzing departmental overhead becomes a matter of running a single prompt instead of juggling spreadsheets.

Audit payroll and claims with this MCP Server

Connect Gemini to your financial records to catch discrepancies. Your Google ADK agent calls `list_claim_reports` and cross-references them against monthly summaries pulled via `get_payroll_summary`. Because this MCP Server exposes direct endpoints, your cloud-hosted agent can run automated audits every Friday. It flags mismatched claims before they hit your accounting system.

Track performance reviews and hiring pipelines

Monitor employee growth by letting Gemini inspect review cycles. The agent uses `list_performance_appraisals` to see who is due for a review. Getting their specific file via `get_employee_details` takes a single call. It can also check the recruitment pipeline using `list_job_postings`. This gives your HR team a clear view of both current staff performance and incoming talent.

Setup guide

Set up BrioHR MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with BrioHR tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="BrioHR_agent",
    model="gemini-2.0-flash",
    instruction="You have access to BrioHR tools via MCP.",
    tools=mcp_tools,
)

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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 Google ADK

Use the McpToolset class with the Vinkius HTTP URL. Pass that toolset to your LlmAgent constructor to expose MCP tools to your Gemini models instantly.

Yes. You can use the optional tool_names parameter in your McpToolset configuration to restrict access to sensitive tools like payroll or claims.

The agent invokes `get_employee_details` to fetch specific profiles. Gemini can then parse this raw JSON data inside its massive context window for deep analysis.

No, Vinkius hosts the MCP Server in a zero-trust sandbox. Your Google ADK agent simply connects to the secure endpoint, meaning zero server maintenance for your engineering team.

It is never stored. The server runs in an ephemeral isolate, pulling data directly from BrioHR to your Google ADK agent on demand, with zero local caching of sensitive financial records.

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