How to Use the Jaicob MCP in Google ADK

Route Jaicob recruitment data to your Gemini models using Google ADK to track vacancies and clients at enterprise scale.

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Connect Jaicob MCP to Google ADK

Create your Vinkius account to connect Jaicob 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 Jaicob with Google ADK

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Analyze Vast Vacancy Lists with Google ADK

Gemini's massive context window lets you process hundreds of job descriptions at once. By linking this MCP Server to your agent, you can pull your entire active pipeline with `list_vacancies` in a single call. The agent reads every requirement and matches them against incoming queries. You no longer have to chunk your job descriptions or build complex vector search databases.

Map Client Organizations to BigQuery Data

Connect your internal database tables directly with live support interactions. The agent uses `list_clients` and `list_recruitment_leads` to cross-reference customer accounts with your cloud-hosted CRM. This allows your team to trigger automated workflows in Vertex AI based on actual client status. The integration runs natively inside your Google Cloud environment.

Track Job Applications in Gemini Workflows

Keep tabs on active hiring pipelines without leaving your console. Using `list_applications` and `list_candidates`, your Gemini-powered agent can instantly verify where an applicant stands in the hiring process. The agent translates technical recruitment data into natural updates for your support team. This reduces manual lookups and keeps your candidate communication moving.

Setup guide

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

Instantiate McpToolset with your HTTP server parameters and pass it to your LlmAgent. The agent can then call tools like `list_vacancies` to fetch live data.

Yes, you can use the optional tool names filter in the toolset configuration. This lets you expose `list_candidates` while blocking write tools like `create_candidate`.

Yes, the toolset class handles both transport layers. For cloud deployments, we recommend using the streamable HTTP parameters for stable connections.

Absolutely, you can run parallel toolsets within your agent. This lets Gemini merge live candidate info with historic analytical data from your warehouse.

Your data remains strictly within your VPC and Google Cloud perimeter. Vinkius handles the authorization token handshake ephemerally, ensuring no hiring leads or client names are cached or logged.

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