How to Use the CATS ATS MCP in Google ADK

Q: How do I configure the CATS ATS MCP Server with Google ADK?

Initialize a McpToolset using StreamableHttpServerParameters and your Vinkius URL. Pass that toolset directly to your LlmAgent configuration.

Q: Can I restrict which CATS ATS tools Google ADK sees?

Yes. Use the toolnames filter when setting up the toolset. You can expose just listjoborders while hiding the candidate search functions.

Bring CATS ATS data into your Google ADK pipelines. Feed candidate profiles and job orders directly into Gemini's massive context window.

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Connect CATS ATS MCP to Google ADK

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

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Analyze thousands of candidates with Google ADK

Gemini models can hold over a million tokens. This changes how you handle recruitment data. Instead of chunking resumes, your agent calls `list_candidates` and dumps entire applicant histories straight into the context window. The Google ADK agent cross-references this raw data against your internal BigQuery datasets. It pulls specific role requirements via `get_job_details` and evaluates hundreds of applicants simultaneously without losing the thread.

Filter applicant pools via MCP Server

Finding the right hire requires precise filtering. Your Gemini agent executes `search_candidates` to narrow down the pool based on strict criteria. It grabs the exact matches and ignores the noise. Once the shortlist exists, the agent digs deeper. It triggers `get_candidate_details` for each match to build a comparative matrix. You get a structured analysis of how each person fits the open job order.

Connect ATS records to Vertex AI

Enterprise recruiting teams already have custom models running on Google Cloud. Adding this MCP toolset lets those models read live ATS data. They pull client lists using `list_recruitment_companies` and map them against market trends. The integration is native to the ecosystem. Your agent fetches hiring manager info via `list_recruitment_contacts` and reviews past interactions with `list_recruitment_activities`. It connects the dots between your ATS and your custom Vertex deployments.

Setup guide

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

Initialize a `McpToolset` using `StreamableHttpServerParameters` and your Vinkius URL. Pass that toolset directly to your `LlmAgent` configuration.

Yes. Use the `tool_names` filter when setting up the toolset. You can expose just `list_job_orders` while hiding the candidate search functions.

It handles it perfectly. You can pull massive amounts of data using `list_recruitment_activities` and let the model reason over months of recruiter notes at once.

Not currently. This specific MCP server focuses on reading data. It pulls candidates and jobs into your Google Cloud environment for analysis.

Highly secure. The connection runs through a zero-trust V8 isolate. When your agent pulls salary expectations or personal phone numbers, the data transmits securely and vanishes from the sandbox instantly.

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