How to Use the Flatwork ATS MCP in Google ADK

Q: How does Google ADK handle high-volume status updates in Flatwork ATS?

The agent batches calls to updateapplicationstatus using Gemini's reasoning capabilities. It processes applicants in groups, ensuring your pipeline stays updated without hitting rate limits.

Q: How does this setup protect sensitive job and application data when using this MCP Server?

Your job descriptions and application records fetched via getjob and listapplications stay within your Google Cloud boundary. Vinkius processes the data through isolated, zero-trust runtimes that never write logs to persistent storage.

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Connect Flatwork ATS MCP to Google ADK

Create your Vinkius account to connect Flatwork ATS 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 Flatwork ATS with Google ADK

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Query Large Applicant Pools via Google ADK

The `list_applicants` tool retrieves your entire candidate database so Gemini can analyze talent pools using its long-context window. The ADK feeds this data directly into your agent, allowing it to compare thousands of profiles against active job requirements. This setup lets you run deep-dive talent searches without hitting token limits. Your agent reads the whole applicant list, matches skills, and identifies top-tier talent in seconds.

Connect BigQuery Data to Your MCP Server

The `get_job` tool pulls specific job requirements that your agent matches against enterprise data stored in BigQuery. The MCP Server links your Google Cloud infrastructure directly to the hiring pipeline, making external data instantly actionable. Your agent analyzes historical hiring trends alongside active job specifications to predict candidate success. It runs complex reasoning loops over your data warehouse and the live applicant tracking system.

Automate Candidate Status Tracking

The `update_application_status` tool modifies candidate stages based on decisions made by your enterprise agent. The ADK manages the execution, ensuring status changes occur only after all business rules pass. This eliminates manual data entry for high-volume roles. The agent processes interview feedback, evaluates test scores, and updates the application status without recruiter intervention.

Setup guide

Set up Flatwork ATS 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 Flatwork ATS 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="Flatwork ATS_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Flatwork ATS 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 Flatwork ATS. 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 Flatwork ATS MCP in Google ADK

You initialize the McpToolset with the HTTP endpoint and connect Flatwork ATS as an MCP Server. Pass this toolset to your agent so Gemini can access tools like `list_jobs` and `get_applicant` directly.

Yes, the ADK supports both stdio and HTTP transports. You can run the server locally or host it on Vinkius and connect via the secure HTTP endpoint.

The agent batches calls to `update_application_status` using Gemini's reasoning capabilities. It processes applicants in groups, ensuring your pipeline stays updated without hitting rate limits.

Yes, the ADK lets you pass a list of allowed tool names. If you only want the agent to read data, you can restrict it to `list_jobs` and `get_applicant`.

Your job descriptions and application records fetched via `get_job` and `list_applications` stay within your Google Cloud boundary. Vinkius processes the data through isolated, zero-trust runtimes that never write logs to persistent storage.

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