How to Use the intelliHR MCP in Google ADK

Q: Can I filter which intelliHR tools are exposed to my Google ADK agent?

Yes, you can use the toolnames filter in the McpToolset configuration. This lets you expose listpeople to your general Google ADK agents while hiding sensitive tools like listremuneration.

Build enterprise HR agents in Google ADK using real-time intelliHR data and Gemini's million-token context window.

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Connect intelliHR MCP to Google ADK

Create your Vinkius account to connect intelliHR 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 intelliHR with Google ADK

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Map office locations inside Google ADK

The `list_locations` tool retrieves your company's physical office data directly into your Google ADK environment. This lets your enterprise agents combine office coordinates with BigQuery dataset records to analyze regional staffing patterns. Your Gemini model uses its massive context window to cross-reference these locations against employee counts. The agent runs `list_people` to associate each worker with their assigned office, giving you an automated headcount report.

Analyze positions and jobs via this MCP Server

The `list_positions` tool exposes all defined job titles to your Google ADK agent. This enables the agent to map the hierarchy of your organization by pairing titles with active roles returned by `list_jobs`. Running this MCP Server on Vinkius lets your agent query hundreds of job roles at once. Gemini processes this entire organizational structure in a single turn, finding vacant roles and reporting them back to your HR dashboard.

Monitor workforce skills and training histories

The `list_skills` tool allows your Google ADK agent to pull the entire skills database for your company. This works alongside `list_training` to analyze which departments are completing their required professional development. Your agent can feed these training records directly into Vertex AI pipelines. This lets you predict future training needs based on actual skill gaps found in your intelliHR directory.

Setup guide

Set up intelliHR 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 intelliHR 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="intelliHR_agent",
    model="gemini-2.0-flash",
    instruction="You have access to intelliHR tools via MCP.",
    tools=mcp_tools,
)

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Common questions about intelliHR MCP in Google ADK

Yes, you can use the tool_names filter in the McpToolset configuration. This lets you expose `list_people` to your general Google ADK agents while hiding sensitive tools like `list_remuneration`.

The agent uses Gemini's large context window to process paginated data from `list_people` in bulk. It requests the records, parses the pagination metadata, and compiles the complete employee list without running out of memory.

Yes, the Vinkius hosting platform supports both transport methods. You can connect your Google ADK agents using the secure HTTP transport for cloud deployments, or Stdio for local testing.

You use the McpToolset class from the SDK and pass the Vinkius endpoint URL. Once initialized, the tools are registered to your LlmAgent and ready for Gemini to invoke.

All data, including employee records, pay rates, and training history, is encrypted in transit using TLS 1.3. The Vinkius runtime executes each tool call in an isolated, short-lived sandbox that is destroyed immediately after the response is sent to Google ADK.

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