How to Use the Hurma MCP in Google ADK

Q: Can I limit which tools Hurma exposes to Google ADK?

You can. Use the toolnames filter to restrict the agent to only the specific operations you want it to perform.

Build enterprise-grade HR agents on Google ADK by connecting the Hurma MCP Server to your existing cloud infrastructure.

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Connect Hurma MCP to Google ADK

Create your Vinkius account to connect Hurma 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 Hurma with Google ADK

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Sync HR data using Google ADK

Your agents can now query `list_employees` to pull staff data into your BigQuery workflows. This bridge makes your employee roster available to every model in your stack. Use `get_employee_details` to fetch specific records during batch processing. It works directly within your existing Google Cloud environment.

Monitor leave status with Google ADK

Call `list_out_of_office` to see who is away right now. Your agent uses this data to adjust project timelines automatically. Run `export_overtimes` to feed raw data into your analytical models. This lets you track capacity trends over time without manual exports.

Manage candidate pipelines in Google ADK

Your agent uses `list_candidates` to monitor recruitment progress. It identifies bottlenecks by comparing stages returned by the server. Update candidate information using `get_candidate_details` before deciding on the next interview step. The agent acts on fresh data every time.

Setup guide

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

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Common questions about Hurma MCP in Google ADK

Initialize the McpToolset with the server URL and pass it to your LlmAgent. It connects to your Hurma instance in minutes.

You can. Use the tool_names filter to restrict the agent to only the specific operations you want it to perform.

The Gemini models support massive context windows, so your agent can process long lists of employees or candidates without breaking.

We keep your employee data in an ephemeral sandbox. No logs are stored, and access is restricted to your specific agent token.

It does. The connection is designed for production environments, keeping your HR operations running on your cloud infrastructure.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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