How to Use the Moka HR MCP in Google ADK

Q: Can Google ADK filter which Moka HR tools are exposed to my agent?

Yes, you can pass a toolnames array to the McpToolset configuration. This lets you restrict your agent to read-only tools like listjobs while hiding write operations.

Q: How does Google ADK handle bulk updates for job applications?

Your agent can loop through applications returned by listapplications and call getapplication for detailed views. The SDK handles the underlying transport protocol efficiently over HTTP or Stdio.

Q: Can I combine Moka HR data with BigQuery using Google ADK?

Yes, Gemini can query candidate profiles using getcandidate and cross-reference that data with employee performance metrics in BigQuery. This helps you analyze which sourcing channels yield the highest-performing hires.

Build enterprise recruiting pipelines using Google ADK to query your Moka HR candidate database.

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Connect Moka HR MCP to Google ADK

Create your Vinkius account to connect Moka HR 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 Moka HR with Google ADK

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Deep context recruiting search with Google ADK

The `list_candidates` tool feeds candidate profiles directly into Gemini's million-token context window via our MCP Server. This lets your agent analyze hundreds of resumes simultaneously without hitting context limits or losing details. You can combine this tool with `get_candidate` to run deep-dive queries across your entire talent pool. The agent matches candidate histories against complex enterprise requirements stored in your BigQuery tables.

Map open roles to active pipelines

The `list_jobs` tool pulls active requisitions from your ATS using this MCP Server. This lets your system match incoming applications against current business priorities automatically. When a match occurs, the agent calls `get_job` to extract specific requirements and technical constraints. Your agent can then flag high-priority roles for immediate human recruiter review.

Analyze interview loops using this MCP Server

The `list_interviews` tool retrieves all scheduled recruiter and hiring manager loops. Your agent monitors these schedules to ensure candidates move through the evaluation pipeline without delays. By calling `get_interview`, the agent extracts specific feedback and interviewer notes to update your cloud database. This keeps your internal Google Workspace sheets synced with real-time ATS updates.

Setup guide

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

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Common questions about Moka HR MCP in Google ADK

Run pip install google-adk and initialize the McpToolset with your server URL. Pass this toolset into your LlmAgent to expose the recruitment tools.

Yes, you can pass a tool_names array to the McpToolset configuration. This lets you restrict your agent to read-only tools like `list_jobs` while hiding write operations.

Your agent can loop through applications returned by `list_applications` and call `get_application` for detailed views. The SDK handles the underlying transport protocol efficiently over HTTP or Stdio.

Yes, Gemini can query candidate profiles using `get_candidate` and cross-reference that data with employee performance metrics in BigQuery. This helps you analyze which sourcing channels yield the highest-performing hires.

The server routes job application details and candidate profiles directly through your private Google Cloud VPC. No data is stored outside your defined enterprise boundaries, keeping your candidate records fully compliant.

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