How to Use the HireVue MCP in Google ADK

Q: Can Google ADK use HireVue to cancel interviews?

It can. Your agent uses the cancelinterview tool to remove bookings when a candidate withdraws. This ensures your availability remains accurate for other applicants.

Q: How do I limit which HireVue tools Google ADK sees?

Pass a toolnames filter to your McpToolset initialization. This restricts the agent to only the functions you want to expose for specific tasks.

Connect HireVue to your Google ADK agent to manage hiring at scale.

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Connect HireVue MCP to Google ADK

Create your Vinkius account to connect HireVue 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 HireVue with Google ADK

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Scale recruitment with Google ADK

Your agent needs to handle high volumes of applicants. It uses `create_candidate` to push profiles into your system, allowing you to process large batches of data quickly. By chaining `list_positions` with these tools, your agent ensures every applicant is mapped to the correct job opening automatically.

Manage HireVue MCP Server tasks

The agent maintains your interview calendar without oversight. It calls `create_interview` to set up sessions and `get_interview` to verify the status of every scheduled event. This keeps your team focused on interviews rather than administrative coordination. The agent handles the back-and-forth updates as they happen.

Data-driven hiring via Google ADK

Your agent pulls deep insights from your hiring data. It uses `get_position` to understand job requirements and `get_candidate` to check individual qualifications. It then makes informed decisions on which roles to prioritize. This replaces manual research with automated, precise data retrieval.

Setup guide

Set up HireVue 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 HireVue 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="HireVue_agent",
    model="gemini-2.0-flash",
    instruction="You have access to HireVue 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 HireVue. 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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Common questions about HireVue MCP in Google ADK

You use the McpToolset class within your agent configuration. Provide the server URL to the parameters, and the framework handles the connection to your Vinkius endpoint.

Yes. You can pass the HireVue MCP Server alongside your BigQuery or Vertex AI tools. The agent will choose the right tool based on the context of the user request.

It can. Your agent uses the `cancel_interview` tool to remove bookings when a candidate withdraws. This ensures your availability remains accurate for other applicants.

Pass a tool_names filter to your McpToolset initialization. This restricts the agent to only the functions you want to expose for specific tasks.

The server treats candidate email and phone records as sensitive payload data. Vinkius secures these fields with TLS, ensuring your agent only accesses what it needs to complete the task.

Use it with your favorite AI tools

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