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How to Use the BrightMove MCP in Google ADK

Connect BrightMove to your Google ADK framework to build agents that query your recruitment data alongside your BigQuery warehouse.

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Works with every AI agent you already use

…and any MCP-compatible client

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Google ADK

Connect BrightMove MCP to Google ADK

Create your Vinkius account to connect BrightMove 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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Direct recruitment data for Google ADK

Your Gemini-powered agents use `list_applicants` to ingest candidate lists into long-context windows. You can then reason over this data alongside your cloud infrastructure logs. Use `get_applicant` to pull deep-dive details on a single candidate. It allows for precision analysis without bloating your memory.

Tracking hiring velocity with Google ADK

Call `get_recruitment_dashboard` to pull current hiring stats into your agent's context. It makes data-driven decisions possible based on live throughput. Use `list_activities` to track the lifecycle of every requisition. Your agent keeps a clean history of every change.

Managing enterprise job data

Retrieve job posting details using `get_job` or browse the entire list with `list_jobs`. Your agent stays informed about open roles across your organization. You can also verify internal stakeholders by checking `list_user_accounts`. It keeps your agent aware of who is responsible for each placement.

Setup guide

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

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 BrightMove MCP in Google ADK

Instantiate an McpToolset using your server URL and pass it into your LlmAgent. It allows your agent to call recruitment tools alongside your standard Google Cloud integrations.
Yes, you can pass a tool_names filter to your McpToolset. It restricts the agent to only the specific hiring functions you want to expose.
It allows your agents to act on hiring data while maintaining native access to Vertex AI and BigQuery. You get a unified view of your enterprise data.
The server acts as a secure bridge, translating agent intents into API calls. Vinkius manages the transport and authentication layer for you.
The server only processes PII like applicant contact details during the specific request window. We use a zero-trust, ephemeral approach to handle all recruitment data.

Start using the BrightMove MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for BrightMove. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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