How to Use the Recruit CRM MCP in Google ADK

Q: Can I combine Recruit CRM data with BigQuery using Google ADK?

Your Gemini agent can pull client details using getcompanydetails and join that information with your BigQuery datasets to generate detailed market reports.

Q: How do I restrict Google ADK to only read tools in Recruit CRM?

You pass a toolnames filter to your McpToolset instance. This limits the agent to tools like getjobdetails and blocks write actions like createcandidate.

Q: How does Google ADK protect candidate contact info pulled from Recruit CRM?

Your candidate contact info, retrieved via getcontactdetails, stays within your Google Cloud boundary. Vinkius runs the MCP server in an ephemeral, secure sandbox that never saves your CRM data.

Analyze talent pipelines and manage jobs inside Google ADK with Gemini.

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Connect Recruit CRM MCP to Google ADK

Create your Vinkius account to connect Recruit CRM 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 Recruit CRM with Google ADK

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Candidate Mapping with Google ADK

The `list_candidates` tool feeds your talent pool directly into Gemini's massive one-million-token context window. This MCP toolset feeds your talent pool directly into your AI model, allowing your enterprise agent to analyze thousands of candidate profiles alongside your BigQuery hiring trends in a single prompt. You don't have to chunk data or run multiple API calls to compare past placements with current needs. The Gemini agent processes the entire list of applicant profiles in seconds.

Automated Job Creation

The `create_job` tool lets your Gemini agent post new vacancies based on internal staffing files stored in Google Cloud. By reading your enterprise resource planning databases, the agent identifies hiring gaps and drafts the job description. After identifying a gap, the agent executes the creation tool directly, bypassing manual data entry. Your recruiting team sees the new role in their dashboard instantly.

Deep Company Insights via MCP Server

The `get_company_details` tool retrieves client histories while `list_companies` gives your agent the full list of active accounts. Your Vertex AI models parse these records to find which clients need immediate attention. Combining this tool with your internal BigQuery data helps you spot which industries are hiring fastest. Your agents can then suggest which accounts your recruiters should call today.

Setup guide

Set up Recruit CRM 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 Recruit CRM 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="Recruit CRM_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Recruit CRM 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 Recruit CRM. 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 Recruit CRM MCP in Google ADK

Use the McpToolset class from the google-adk library to point to your Vinkius HTTP endpoint. Pass this toolset directly into your LlmAgent to expose the recruitment tools to Gemini.

Your Gemini agent can pull client details using `get_company_details` and join that information with your BigQuery datasets to generate detailed market reports.

You pass a tool_names filter to your McpToolset instance. This limits the agent to tools like `get_job_details` and blocks write actions like `create_candidate`.

Yes, the ADK handles both connection types smoothly. For cloud-deployed enterprise agents, the HTTP transport provided by this MCP server is the most reliable option.

Your candidate contact info, retrieved via `get_contact_details`, stays within your Google Cloud boundary. Vinkius runs the MCP server in an ephemeral, secure sandbox that never saves your CRM data.

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