How to Use the Jobvite MCP in Google ADK

Connect your Jobvite pipeline directly to Google ADK to run data-driven hiring workflows powered by Gemini.

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Connect Jobvite MCP to Google ADK

Create your Vinkius account to connect Jobvite 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 Jobvite with Google ADK

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Enterprise Pipeline Sync with Google ADK

The `list_candidates` tool fetches your entire talent pool directly into your Gemini agent's context window. Because Google ADK supports massive context lengths, your agent can analyze hundreds of profiles at once, comparing them against active reqs from `list_jobs` without running out of memory. This MCP Server bridges the gap between your cloud data warehouses and your recruiting platform. You can pull historical trends from BigQuery, feed them to Gemini, and immediately update profiles using `update_candidate`.

Automated Job Requisition Management

The `create_job` tool creates new requisitions in Jobvite based on your enterprise resource planning data. Your agent reads hiring requests from your internal databases, checks active posts with `get_job`, and formats the new requisition to match company standards. Using this through Google ADK lets you connect your recruitment pipeline to your broader Google Cloud infrastructure. Tools are exposed as standard toolsets, letting Gemini call them natively during complex orchestration runs.

Live Application Tracking and Status Updates

The `update_application_status` tool moves candidates through your pipeline based on live evaluation data. Your agent checks current applications via `list_applications`, reviews interview notes, and updates the status in Jobvite. This setup avoids manual data entry entirely. By exposing `get_candidate` to your Gemini agent, you can verify background details before changing their status, keeping your pipeline clean and accurate.

Setup guide

Set up Jobvite 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 Jobvite 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="Jobvite_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Jobvite 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 Jobvite. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

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 Jobvite MCP in Google ADK

Use the McpToolset class from the SDK and pass your Vinkius HTTP endpoint parameter. Then, add this toolset to your LlmAgent constructor. The Gemini model will automatically see tools like `list_candidates`.

Yes, the SDK supports both Stdio and HTTP transports. Since Vinkius hosts the server, you only need to point your ADK configuration to the provided HTTP URL.

You can pass a specific list of tool names to your toolset configuration. This prevents Gemini from executing write tools like `create_candidate` if you only want it to read data.

Yes, and that is where it shines. Your agent can pull massive candidate lists using `list_candidates` and process them all in a single turn.

Your recruitment credentials are encrypted at rest on Vinkius and never exposed to the LLM. The agent only sees the tool schemas, while the actual API calls run inside a secure sandbox.

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