How to Use the ClockShark MCP in Google ADK

Q: Can I filter which ClockShark tools are exposed to my Google ADK agent?

Yes. Use the toolnames filter in your McpToolset configuration to only expose specific tools like listtimesheets while hiding write operations like createtimesheet.

Q: How does Gemini's long context window benefit ClockShark analysis?

It allows your agent to ingest thousands of rows from listtimesheets at once. The Gemini model analyzes entire seasons of field data to identify labor cost trends.

Run enterprise-grade construction analytics by connecting the ClockShark MCP Server directly to your Google ADK agent.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect ClockShark MCP to Google ADK

Create your Vinkius account to connect ClockShark 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 ClockShark with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

High-context scheduling with Google ADK

This ClockShark MCP Server allows your Gemini-powered enterprise agent to process months of scheduling data at once using `list_schedules` and `list_employees`. Because Google ADK supports Gemini's massive context window, you can feed a year of shift history directly to the agent to optimize upcoming crew schedules. The agent reasons across all scheduling constraints to build new shifts using `create_shift`. You get optimized field schedules without worrying about hitting token limits or losing historical context.

BigQuery data mapping for field jobs

Map your Google Cloud data warehouse directly to your field operations by exposing `list_jobs` and `create_job` to your ADK agents. Your agent reads raw construction contracts from BigQuery and instantly writes matching projects into ClockShark. This setup bridges the gap between enterprise data and field execution. The agent calls `list_tasks` to check that your active database matches the service tasks assigned to your crews.

Automated timesheet reconciliation

Resolve payroll discrepancies by letting your Google ADK agent query `list_timesheets` and `get_employee_details` side by side. The agent compares timesheet entries against internal ERP databases hosted on Google Cloud. When the agent finds a missing entry, it corrects the record using `create_timesheet`. You run this entire pipeline within your secure Vertex AI infrastructure.

Setup guide

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

Import McpToolset from the ADK and pass your Vinkius HTTP URL. This exposes tools like `list_jobs` directly to your Gemini-powered LlmAgent.

Yes. Use the tool_names filter in your McpToolset configuration to only expose specific tools like `list_timesheets` while hiding write operations like `create_timesheet`.

Yes. While Vinkius manages the secure HTTP endpoint, the Google ADK handles the transport layer to let your agent query `get_employee_details` without manual protocol translation.

It allows your agent to ingest thousands of rows from `list_timesheets` at once. The Gemini model analyzes entire seasons of field data to identify labor cost trends.

Your employee details and GPS timesheets travel over encrypted HTTPS directly to your private Google Cloud environment. Vinkius runs the server in a zero-trust sandbox to prevent external access.

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