How to Use the Everhour Time Tracking MCP in Google ADK

Q: Can Google ADK filter the tools available in the Everhour Time Tracking MCP Server?

Yes. You can use the toolnames filter to restrict the agent. If you only want it reading timers, you just expose getcurrentlyrunningtimer.

Bring the Everhour Time Tracking MCP Server into Google ADK to let Gemini analyze your project budgets.

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Connect Everhour Time Tracking MCP to Google ADK

Create your Vinkius account to connect Everhour Time Tracking 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.

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Setup Everhour Time Tracking with Google ADK

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Audit team hours with Google ADK

The `list_team_time_records` tool lists time records for the team within a specific date range straight into Gemini's massive context window. You dump weeks of raw logs into the model, and it spots inefficiencies without breaking a sweat. If you just need a fast overview, `quick_time_tracking_audit` retrieves a high-level summary of recent time entries and active projects. Your Google Cloud agent reads this summary and crosses it with your BigQuery datasets to map out productivity trends.

Track budgets across the enterprise

The `list_projects_within_budget` tool identifies projects that are currently within their assigned time or monetary budget. Gemini analyzes these lists and flags the accounts that need immediate attention. When you need a full overview, `list_tracked_projects` lists all projects managed in your Everhour account. Your agent feeds this raw directory straight into Vertex AI for mapping against your internal enterprise records.

Manage clients and active work

The `list_billing_clients` tool lists all clients configured for project billing and invoicing. Your agent maps these clients to your internal enterprise databases automatically. To see what is happening right now, `get_currently_running_timer` retrieves the task and start time for any currently active timer. You know exactly what your team is doing before you even ask them.

Setup guide

Set up Everhour Time Tracking 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 Everhour Time Tracking 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="Everhour Time Tracking_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Everhour Time Tracking tools via MCP.",
    tools=mcp_tools,
)

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

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Common questions about Everhour Time Tracking MCP in Google ADK

Run pip install google-adk. Set up an McpToolset using StreamableHttpServerParameters with your endpoint, then pass it to your LlmAgent under the tools argument.

Yes. You can use the tool_names filter to restrict the agent. If you only want it reading timers, you just expose get_currently_running_timer.

It handles it easily. You can pull massive datasets using list_team_time_records and Gemini processes the entire log in one go.

Absolutely. Your agent fetches the raw budget data, and you write the logic to dump those records straight into your BigQuery tables.

The server accesses sensitive team member roles and active task logs. Vinkius enforces a zero-trust, ephemeral architecture, meaning your enterprise credentials authorize the request and immediately discard the state.

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