ClockShark MCP Server for Google ADKGive Google ADK instant access to 10 tools to Create Job, Create Shift, Create Task, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add ClockShark as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this App Connector for Google ADK
The ClockShark app connector for Google ADK is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="clockshark_agent",
instruction=(
"You help users interact with ClockShark "
"using 10 available tools."
),
tools=[mcp_tools],
)
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About ClockShark MCP Server
Connect your ClockShark account to any AI agent and take full control of your field service workforce and time-tracking workflows through natural conversation.
Google ADK natively supports ClockShark as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- Timesheet Orchestration — List and manage individual time tracking entries programmatically, retrieving detailed historical clock-in/out records and location metadata
- Schedule & Shift Intelligence — Create and monitor work shifts and job assignments in real-time to maintain a perfectly coordinated field operation
- Employee Lifecycle Management — Access complete employee profiles and retrieve directories of active or inactive staff to oversee team distribution
- Job & Task Architecture — Programmatically manage your directory of service jobs and project codes to ensure your crew always has the high-fidelity info they need
- Productivity Monitoring — Monitor labor costs and project progress by creating new service tasks and tracking work types directly through your agent
The ClockShark MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 ClockShark tools available for Google ADK
When Google ADK connects to ClockShark through Vinkius, your AI agent gets direct access to every tool listed below — spanning time-tracking, gps-tracking, timesheets, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add a new job/project
Schedule a new shift
Add a new work task
Manually add a time entry
Get details for a staff member
List all employees
List all jobs/projects
List employee shifts
List all service tasks
List time tracking entries
Connect ClockShark to Google ADK via MCP
Follow these steps to wire ClockShark into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the ClockShark MCP Server
Google ADK provides unique advantages when paired with ClockShark through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with ClockShark
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine ClockShark tools with BigQuery, Vertex AI, and Cloud Functions
ClockShark + Google ADK Use Cases
Practical scenarios where Google ADK combined with the ClockShark MCP Server delivers measurable value.
Enterprise data agents: ADK agents query ClockShark and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine ClockShark tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query ClockShark regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including ClockShark
Example Prompts for ClockShark in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with ClockShark immediately.
"List all active employees in my ClockShark account."
"Schedule a shift for 'John' (ID: 123) for tomorrow from 8 AM to 5 PM."
"Show the timesheets for 'last_week'."
Troubleshooting ClockShark MCP Server with Google ADK
Common issues when connecting ClockShark to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkClockShark + Google ADK FAQ
Common questions about integrating ClockShark MCP Server with Google ADK.