How to Use the JobScore MCP in Google ADK

Q: Can I use JobScore tools to filter data for my Google ADK agent?

Absolutely. You can use the listdepartments and listlocations tools to restrict the data the agent sees to only what is relevant to your current query.

Connect your Google ADK agents to your ATS data for deep analysis of hiring trends and candidate sources.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect JobScore MCP to Google ADK

Create your Vinkius account to connect JobScore 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.

GDPR Free for Subscribers

Setup JobScore with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Analyze hiring sources with Google ADK

Your agent identifies where your top talent comes from by querying `list_sources`. It correlates this with candidate performance to show you which channels actually produce hires. It combines this source data with `list_candidates` to build a complete view of your recruiting funnel. This allows your agent to report on channel effectiveness directly within your Google Cloud environment.

Map jobs to departments in the MCP Server

The agent categorizes hiring efforts by running `list_departments` alongside `list_jobs`. It groups open roles by business unit to provide a clear summary of your hiring footprint. This structure helps your agent filter jobs by office location. Using `list_locations`, the agent matches candidates to the correct city, ensuring your hiring data is always geographically accurate.

Long-context hiring insights

With Gemini's massive context window, your agent can process hundreds of candidate records at once. It uses `list_candidates` to ingest the entire pool and then performs complex reasoning over the data. You can ask your agent to find patterns in hiring team performance. By calling `list_users` and `list_hiring_teams`, the agent identifies which recruiters are most active on specific types of roles.

Setup guide

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by JobScore. 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.

Connect JobScore now

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 JobScore MCP in Google ADK

Yes. You can pull large datasets from the server and feed them into the agent's context window. This works well for analyzing entire hiring pipelines.

The server exposes tools that your agent calls as native functions. It connects via HTTP, allowing your agent to sit anywhere in your Google Cloud stack.

Absolutely. You can use the `list_departments` and `list_locations` tools to restrict the data the agent sees to only what is relevant to your current query.

The server provides specific tools for listing and retrieving data. You filter the results within your agent's code after the server returns the requested list.

Your connection is secured by a per-user endpoint token provided by the marketplace. The server only returns candidate names, stages, and IDs based on your specific authenticated permissions.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript