Timeero MCP Server for Google ADKGive Google ADK instant access to 11 tools to Check Timeero Status, Get Timeero Job, Get Timeero Schedule, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Timeero 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 Timeero app connector for Google ADK is a standout in the Productivity category — giving your AI agent 11 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="timeero_agent",
instruction=(
"You help users interact with Timeero "
"using 11 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 Timeero MCP Server
Connect your Timeero account to any AI agent and take full control of your mobile workforce orchestration and high-fidelity time tracking workflows through natural conversation.
Google ADK natively supports Timeero as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 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 Portfolio Orchestration — List all time log entries, retrieve detailed high-fidelity status metadata, and monitor workforce productivity programmatically
- Job Pipeline Intelligence — Query defined jobs and projects, retrieve detailed technical metadata, and stay on top of your field operations in real-time
- Schedule Coordination — Access your complete directory of high-fidelity work schedules and user shifts to optimize workforce distribution directly through your agent
- User Directory Discovery — Access complete high-fidelity user profiles and team member directories to understand and orchestrate your workforce programmatically
- Task Catalog Access — Query the complete high-fidelity catalog of assigned tasks and activities to maintain perfect contextual alignment for every shift
- Operational Monitoring — Verify account-level API connectivity and monitor tracking activity volume directly through your agent for perfectly coordinated service scaling
The Timeero MCP Server exposes 11 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 11 Timeero tools available for Google ADK
When Google ADK connects to Timeero through Vinkius, your AI agent gets direct access to every tool listed below — spanning time-tracking, gps-tracking, mobile-workforce, 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.
Check API Status
Get details for a specific job
Get details for a specific schedule
Get details for a specific task
Get details for a specific timesheet
Get details for a specific user
List active jobs
List work schedules
List available tasks
List timesheets
List Timeero users
Connect Timeero to Google ADK via MCP
Follow these steps to wire Timeero 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 Timeero MCP Server
Google ADK provides unique advantages when paired with Timeero 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 Timeero
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 Timeero tools with BigQuery, Vertex AI, and Cloud Functions
Timeero + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Timeero MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Timeero and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Timeero tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Timeero regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Timeero
Example Prompts for Timeero in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Timeero immediately.
"List all active team members in Timeero."
"Show the last 5 timesheets recorded."
"Check the available tasks for the 'Repair' job."
Troubleshooting Timeero MCP Server with Google ADK
Common issues when connecting Timeero to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkTimeero + Google ADK FAQ
Common questions about integrating Timeero MCP Server with Google ADK.