How to Use the GitScrum Time Tracking MCP in Google ADK

Q: How do I add GitScrum Time Tracking to my Google ADK agent?

Initialize McpToolset with the HTTP transport URL provided by Vinkius, then pass it to your LlmAgent. Your Google ADK agent will instantly discover tools like listtasks and starttimer.

Q: Does GitScrum Time Tracking support BigQuery integration via Google ADK?

Yes, indirectly. Your agent can pull tracking data using timetimeline and write it directly to BigQuery using the standard Google Cloud SDKs.

Q: Can I restrict the agent to read-only tracking tools?

Yes. Use the toolnames filter inside your McpToolset configuration to expose only safe tools like budgetoverview while blocking write tools like deletetimeentry on the MCP server.

Run enterprise-grade time analytics inside the Google ADK using Gemini's massive context window.

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Connect GitScrum Time Tracking MCP to Google ADK

Create your Vinkius account to connect GitScrum 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 GitScrum Time Tracking with Google ADK

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Run deep budget analysis using Google ADK

`projects_at_risk` identifies which accounts are burning through cash too fast. The Google ADK feeds these identifiers directly into your Gemini reasoning loops to assess financial health. By combining `budget_burndown` with `budget_events`, your agent builds a complete financial trajectory. You can pipe this raw data straight into BigQuery for long-term storage and modeling.

Connect this MCP Server to Google Cloud data pipelines

`time_analytics` extracts team-wide performance metrics that you can analyze using Vertex AI. This MCP Server exposes 28 distinct tools to help you bridge project management data with enterprise cloud resources. Your agent queries `team_time_report` to compare actual logged hours against your historical databases. Having this data available in your cloud environment makes resource planning highly accurate.

Pull personalized daily task lists automatically

`my_today_tasks` grabs everything due today so your agent can plan your morning. The tool filters out noise, leaving only active, assigned items. If you need a broader view, `my_tasks` pulls assignments across all active workspaces. Your agent uses `get_task` to verify the details before you start working.

Setup guide

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

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Common questions about GitScrum Time Tracking MCP in Google ADK

Initialize `McpToolset` with the HTTP transport URL provided by Vinkius, then pass it to your `LlmAgent`. Your Google ADK agent will instantly discover tools like `list_tasks` and `start_timer`.

Absolutely. Gemini's million-token context window lets you dump months of data from `time_reports` and `weekly_digest` into a single prompt for deep trend analysis.

Yes, indirectly. Your agent can pull tracking data using `time_timeline` and write it directly to BigQuery using the standard Google Cloud SDKs.

Yes. Use the `tool_names` filter inside your `McpToolset` configuration to expose only safe tools like `budget_overview` while blocking write tools like `delete_time_entry` on the MCP server.

Your tracking logs and task lists pass through an isolated, zero-trust network. Vinkius manages the authentication credentials securely, ensuring your GitScrum API keys are never exposed to Google Cloud logs or external LLM providers.

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