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How to Use the Breezy HR Alternative MCP in Google ADK

Connect Gemini models to your hiring pipeline using Google ADK to query positions and candidates.

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Google ADK

Connect Breezy HR Alternative MCP to Google ADK

Create your Vinkius account to connect Breezy HR Alternative 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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Enterprise talent search using Google ADK

The `list_candidates` tool enables your Gemini models to query candidate pools for specific open roles. By combining this tool with Google Cloud data, your agent can cross-reference internal databases with active applicant profiles. The model processes large volumes of applicant data within its massive context window. It checks qualifications against active positions without running into token limits or losing track of context.

Sync job positions with BigQuery via MCP Server

This MCP Server provides direct access to job listings through `list_positions` and `get_position` to align your HR data with Google Cloud storage. Your enterprise agents can pull active job data and export it straight to BigQuery for advanced analytics. You can build dashboards that track hiring velocity across different departments. This lets your operations team analyze recruitment bottlenecks using real-time pipeline data.

Automated candidate profile creation

The `add_candidate` tool allows your Google ADK agent to write new applicant profiles directly into your hiring pipeline. When a resume hits your storage bucket, an automated trigger passes the parsed details straight to this function. This removes the manual step of downloading resumes and uploading them to your applicant tracker. Your team sees new applicants in the dashboard instantly.

Setup guide

Set up Breezy HR Alternative 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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 Alternative 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 Alternative_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Breezy HR Alternative tools via MCP.",
    tools=mcp_tools,
)

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.

Why Choose Vinkius

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Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Breezy HR Alternative MCP in Google ADK

Install the Python ADK package and initialize the `McpToolset` with your Vinkius HTTP transport URL. Pass this toolset into your `LlmAgent` configuration to give Gemini immediate access to the recruiting functions.
Yes. The `McpToolset` class supports an optional `tool_names` filter. Use this to restrict access, ensuring your agent can only run read operations like `list_positions` while blocking write tools.
Yes. Gemini can load thousands of candidate profiles returned by `list_candidates` into its long-context window. This allows it to perform deep comparative analysis across your entire applicant database in a single run.
Use `list_companies` to retrieve the list of active organizations, then call `get_company` with the target ID. This returns the exact metadata required to scope your subsequent candidate searches.
All communication runs through this MCP Server inside a zero-trust, ephemeral V8 sandbox managed by Vinkius. Your API keys and candidate details are never written to persistent disks, keeping your recruiting data compliant with enterprise security standards.

Start using the Breezy HR Alternative MCP today

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Built & Managed by Vinkius 30s setup 8 tools

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