How to Use the Greenhouse Alternative MCP in Google ADK

Q: Can Google ADK handle high-volume candidate imports with Greenhouse Alternative?

Yes, your agent uses addapplicationtocandidate to process bulk resumes within Gemini's 1M+ token context window. The ADK tools scale dynamically to prevent API rate limit issues.

Q: How do I configure Greenhouse Alternative tools within a Google ADK pipeline?

You use the toolnames filter in your McpToolset configuration to limit access. For example, you can block destructive actions like deleteapplication while keeping read-only tools active.

Q: How does this MCP Server integrate with Vertex AI workflows?

Your agent calls getboardjob to pull job requirements, which Vertex AI then uses to screen incoming resumes. This connects your unstructured candidate data to your structured ATS pipeline.

Connect your Google ADK pipelines to Greenhouse Alternative to automate candidate tracking and job distribution.

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Connect Greenhouse Alternative MCP to Google ADK

Create your Vinkius account to connect Greenhouse Alternative 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 Greenhouse Alternative with Google ADK

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Run recruitment analytics via Google ADK

The `get_candidate_activity_feed` tool extracts candidate histories to feed your analytical pipelines. Your Google ADK agents process this raw timeline data alongside your BigQuery warehouse, giving you clear insights into recruiter bottlenecks. To keep these reports fresh, your agent periodically runs `list_applications` using this MCP Server setup to sync the status of every active applicant. Long-context Gemini models ingest these lists to spot where hiring managers are stalling.

Manage job board distribution at scale

The `list_board_jobs` tool queries your active job board to verify which roles are currently public. Google ADK agents match these listings with your internal department structures using `list_board_departments` to make sure every team's openings are correctly represented. When you open a new satellite office, the agent calls `list_board_offices` to map candidates to the correct geographical location. This keeps your external job boards aligned with physical office needs.

Automate partner candidate submissions with this MCP Server

The `submit_partner_candidate` tool allows your Google ADK agent to push vetted referrals directly into your hiring pipeline. External recruiters no longer need to deal with clunky portal logins to submit talent. Every submission automatically triggers `create_partner_tracking_link` to guarantee that external sourcers get credited for their candidates. Your partner relationships remain completely clean and transparent as a result.

Setup guide

Set up Greenhouse Alternative 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 Greenhouse Alternative 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="Greenhouse Alternative_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Greenhouse Alternative tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Greenhouse Alternative MCP in Google ADK

Yes, your agent uses `add_application_to_candidate` to process bulk resumes within Gemini's 1M+ token context window. The ADK tools scale dynamically to prevent API rate limit issues.

Your candidate profile and application data are routed through Vinkius's secure HTTP transport layer. This setup isolates all API keys, ensuring credentials never leak into your Google Cloud logs.

You use the `tool_names` filter in your `McpToolset` configuration to limit access. For example, you can block destructive actions like `delete_application` while keeping read-only tools active.

Your agent calls `get_board_job` to pull job requirements, which Vertex AI then uses to screen incoming resumes. This connects your unstructured candidate data to your structured ATS pipeline.

Only authorized agents using your Vinkius endpoint token can run `get_audit_log_events` to inspect system logs. This security mechanism ensures your recruitment audit trails remain tamper-proof and private.

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