How to Use the Breezy HR MCP in Google ADK

Q: How do I initialize the Breezy HR MCP toolset in Google ADK?

Install the library and instantiate McpToolset using your Vinkius HTTP MCP server URL. Pass this toolset directly into your LlmAgent tools array to give Gemini full access to your hiring data.

Q: Can Google ADK restrict which Breezy HR tools are exposed to the agent?

Yes. You can pass a specific list of tool names to the McpToolset constructor to limit access. For instance, you can expose only listpositions and block modification tools.

Q: How does the agent know which pipeline stages exist in Breezy HR?

The agent calls liststages for a specific job ID. This returns the exact recruitment funnel, allowing the agent to make accurate decisions before moving any candidates.

Q: Can I use Google ADK to fetch Breezy HR company metadata?

Yes. The getcompany tool allows your agent to retrieve authenticated details about your organization. This is useful for grounding your agent's context when it drafts job descriptions.

Run enterprise recruiting pipelines on Google Cloud by connecting Google ADK to your Breezy HR workspace.

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

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Enterprise-scale sourcing with Google ADK

Large-scale recruiting demands deep data analysis. By combining Gemini's million-token context window with this MCP Server, your agent can scan thousands of applications and execute `create_candidate` for matching profiles. The agent processes massive resume datasets stored in BigQuery, identifies the best fits, and populates your hiring pipeline. It bridges the gap between your cloud data warehouse and your actual recruiting platform.

Automated pipeline stage tracking

Keeping track of hundreds of active candidates across different departments is a logistical nightmare. Your agent uses `list_candidates` to audit your active pool and flag profiles that have stalled in a specific phase. Once a bottleneck is identified, the agent can call `move_candidate` to advance people who have completed their assessments. This keeps your hiring pipeline flowing without manual constant checking of the MCP connection.

Dynamic job posting updates

Job descriptions change fast, and keeping them updated across platforms is tedious. Your agent can query current listings using `list_positions` and extract deep details with `get_position`. If a team lead requests updates via a Google Workspace doc, the agent can parse those changes and use `create_position` to draft the updated role. It keeps your external job board perfectly aligned with internal team needs.

Setup guide

Set up Breezy 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 Breezy 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="Breezy HR_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Breezy HR 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 Breezy HR. 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 Breezy HR MCP in Google ADK

Install the library and instantiate `McpToolset` using your Vinkius HTTP MCP server URL. Pass this toolset directly into your `LlmAgent` tools array to give Gemini full access to your hiring data.

Yes. You can pass a specific list of tool names to the `McpToolset` constructor to limit access. For instance, you can expose only `list_positions` and block modification tools.

The agent calls `list_stages` for a specific job ID. This returns the exact recruitment funnel, allowing the agent to make accurate decisions before moving any candidates.

Yes. The `get_company` tool allows your agent to retrieve authenticated details about your organization. This is useful for grounding your agent's context when it drafts job descriptions.

Yes, completely. Your credentials and candidate profiles are processed entirely within a zero-trust, ephemeral MCP sandbox. No data is cached or stored outside your designated Google Cloud environment and Breezy HR.

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