How to Use the Troops MCP in Google ADK

Q: How can I process candidate records using Troops and the Google ADK?

Your agent uses createcandidate to intake new data. Because of native BigQuery integration, this profile information is immediately available for complex analysis across your entire enterprise dataset.

Q: Does the MCP Server support listing job offers with Google ADK?

Absolutely. You use listjobs, which lets you filter by status. This allows your agent to accurately report on available positions right inside your GCP environment.

Q: What if I need to process contracts and timesheets using Troops and the Google ADK?

The workflow is straightforward: submittimesheet records hours, followed by generatecontract. The Gemini models can hold enough context to tie these actions together perfectly.

Build enterprise HR agents on Google Cloud using the Google ADK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Troops MCP to Google ADK

Create your Vinkius account to connect Troops 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 Troops with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Managing Candidate Data with MCP Server

Agents register new talent through `create_candidate` and pull details with `get_candidate`. Since this integrates natively with BigQuery, candidate data flows directly into your existing enterprise data lake. The Google ADK models can reason over massive context windows (1M+ tokens), meaning the agent keeps track of deep historical notes on every profile.

Structuring Job Offers in the Google ADK

Need to open a new role? Call `create_job` to define it. You can also run `list_jobs`, filtering by status, keeping your job board records accurate. The tools act directly on your BigQuery structured data. This means you don't just list jobs; you update the source of truth for all employment opportunities.

Completing HR Workflows via MCP Server

The agent can manage payments and contracts by calling `submit_timesheet` and then `generate_contract`. This covers everything from hours worked to the final signed agreement. The Google ADK makes this robust because it supports complex, long-running reasoning across multiple steps.

Setup guide

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

Your agent uses `create_candidate` to intake new data. Because of native BigQuery integration, this profile information is immediately available for complex analysis across your entire enterprise dataset.

Absolutely. You use `list_jobs`, which lets you filter by status. This allows your agent to accurately report on available positions right inside your GCP environment.

The workflow is straightforward: `submit_timesheet` records hours, followed by `generate_contract`. The Gemini models can hold enough context to tie these actions together perfectly.

Yes. The Google ADK supports long-context reasoning, meaning it handles complex workflows involving multiple tools and massive amounts of data without losing track.

The MCP Server touches Candidate Data. The Google ADK is built for enterprise use, ensuring that your agent’s actions respect the security and governance rules already established within BigQuery.

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