How to Use the Join MCP in Google ADK

Q: How does Google ADK handle long-context reasoning with Join data?

The agent pulls large batches of candidates using listcandidates and processes them inside Gemini's massive context window.

Build enterprise recruiting agents on Google Cloud with Google ADK to query your Join MCP Server.

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Connect Join MCP to Google ADK

Create your Vinkius account to connect Join 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 Join with Google ADK

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Run long-context talent analysis using Google ADK

Gemini models handle massive token limits, meaning you can feed hundreds of profiles from `list_candidates` into a single prompt. The agent parses candidate contact info and job associations in one go. It calls `get_candidate` to retrieve deep-dive vetting files for your entire pipeline. The agent cross-references this with `list_departments` to map talent pools across your whole company.

Sync recruiting data with BigQuery via Google ADK

Your agent queries `list_jobs` to pull all active postings and matches them against your cloud data warehouse. This lets you track hiring velocity against your actual business metrics. It uses `list_locations` to map where your open roles are concentrated. The agent combines this with internal cloud data to optimize your regional hiring budget.

Audit hiring operations with this MCP Server

Track team activity by letting your agent run `list_users` to see who is managing current interview loops. It checks connection health and verifies active sessions using `get_me`. The agent queries `list_applications` to monitor recent applicant flow. It then pulls individual application statuses using `get_application` to flag stalled candidates.

Setup guide

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

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Common questions about Join MCP in Google ADK

Yes. Initialize the MCP toolset with the Join server URL and pass it to your Gemini-powered agent.

The agent pulls large batches of candidates using `list_candidates` and processes them inside Gemini's massive context window.

Yes. You can register the recruiting tools directly within Vertex AI agent workflows to automate candidate sourcing.

You can. Use the tool names filter parameter when initializing the MCP toolset to expose only the specific tools you want.

Yes. All candidate contact details and application files are processed within your isolated Google Cloud environment, ensuring zero data leakage.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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Google ADK sdk-python

Pydantic AI sdk-python

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Mastra AI sdk-typescript

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