Is it safe to expose my company's payrolls to the AI?

Yes. This connector runs entirely on your local machine or trusted enclave natively. No employee data, payload information or generated queries are routed to our servers—your API interactions occur directly from your environment straight to SmartHR's endpoints.

Can the agent calculate average payroll over time automatically?

Absolutely. Just prompt your agent: 'List all payrolls from Q2, and display the average distribution'. The agent will call the `list_payrolls` endpoint, retrieve the raw figures, do the mathematical operation independently in context, and present you a very clear table or markdown summary.

How do I look up which internal department an employee works for?

You don't need to specify the exact tool. You can simply ask: 'What department is crew member [Name] in?'. Your AI will automatically use the `list_crews` tool and cross reference the results with `list_departments` to formulate a correct response.

SmartHR MCP Server for Google ADK 8 tools — connect in under 2 minutes

Name: SmartHR
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 8 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add SmartHR as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="smarthr_agent",
    instruction=(
        "You help users interact with SmartHR "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About SmartHR MCP Server

Connect your SmartHR directory to any AI agent and empower your team to query employee data, organizational hierarchies, and payroll records securely. Interact with your organization's human capital database through natural language without ever switching tabs.

Google ADK natively supports SmartHR as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Employee Tracking — Call the list_crews tool to retrieve the roster of all employees and cross-reference demographic metadata
Department Hierarchies — Ask your AI to list_departments or check list_positions to understand the internal structure
Deep Employee Profiles — Perform targeted queries using get_crew_details or list_crew_dependents to fetch highly sensitive contract details
Payroll Overviews — Securely query active or historical payroll ledgers to audit compensation scaling

The SmartHR MCP Server exposes 8 tools through the Vinkius. Connect it to Google ADK 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 SmartHR to Google ADK via MCP

Follow these steps to integrate the SmartHR MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 8 tools from SmartHR via MCP

Why Use Google ADK with the SmartHR MCP Server

Google ADK provides unique advantages when paired with SmartHR through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with SmartHR

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine SmartHR tools with BigQuery, Vertex AI, and Cloud Functions

SmartHR + Google ADK Use Cases

Practical scenarios where Google ADK combined with the SmartHR MCP Server delivers measurable value.

Enterprise data agents: ADK agents query SmartHR and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine SmartHR tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query SmartHR regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including SmartHR

SmartHR MCP Tools for Google ADK (8)

These 8 tools become available when you connect SmartHR to Google ADK via MCP:

get_crew_details

Retrieves details for a specific employee

list_crew_dependents

Lists dependents for a specific employee

list_crews

Lists all employees (crews) in SmartHR

list_departments

Lists all organizational departments

list_employment_types

Lists all employment types

list_establishments

Lists business establishments or office locations

list_payrolls

Lists employee payroll records

list_positions

Lists all job positions or roles

Example Prompts for SmartHR in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with SmartHR immediately.

"Fetch the entire roster and list the top 3 job positions that occur most frequently."

"Retrieve the details for crew member `crew-8f192`, including their enrolled dependents."

"List all physical establishments the company operates."

Troubleshooting SmartHR MCP Server with Google ADK

Common issues when connecting SmartHR to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

SmartHR + Google ADK FAQ

Common questions about integrating SmartHR MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.