Can the agent start and stop timers on tasks without me opening GitScrum?

Yes! Use `start_timer` with any task UUID to begin tracking, and `stop_timer` to end it. Only one timer can be active at a time. Use `list_tasks` or `my_today_tasks` first to find the task you want to track. The agent handles the complete flow in seconds.

Can I get a standup summary without attending the meeting?

Absolutely. Use `standup_summary` for the daily overview, `completed_yesterday` for what the team shipped, `standup_blockers` for current impediments, and `team_status` for per-member breakdown. It's your entire standup in 4 quick queries.

Can the agent flag projects that are over budget?

Yes. Use `projects_at_risk` to see all projects approaching or exceeding their budget threshold. Then drill into any project with `budget_overview` for total vs consumed, `budget_burndown` for trend analysis, and `budget_alerts` for active threshold warnings.

GitScrum Time Tracking MCP Server for Google ADK 28 tools — connect in under 2 minutes

Name: GitScrum Time Tracking
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 28 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add GitScrum Time Tracking as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

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="gitscrum_time_tracking_agent",
    instruction=(
        "You help users interact with GitScrum Time Tracking "
        "using 28 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 GitScrum Time Tracking MCP Server

What you can do

Live time tracking — start, stop, and manage timers on any task with one command
Manual time logging — record retroactive time entries with exact start/end timestamps and descriptions
Productivity analytics — access team reports, individual productivity scores, and timeline visualizations
Budget monitoring — check budget burn-down, consumption breakdowns, risk alerts, and project budget health
Daily standups — get automated standup summaries, yesterday's completions, current blockers, and stuck tasks
Team insights — review contributor activity scores, weekly digests, and per-member time breakdowns

Google ADK natively supports GitScrum Time Tracking as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 28 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

The GitScrum Time Tracking MCP Server exposes 28 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.

How to Connect GitScrum Time Tracking to Google ADK via MCP

Follow these steps to integrate the GitScrum Time Tracking MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 28 tools from GitScrum Time Tracking via MCP

Why Use Google ADK with the GitScrum Time Tracking MCP Server

Google ADK provides unique advantages when paired with GitScrum Time Tracking 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 GitScrum Time Tracking

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 GitScrum Time Tracking tools with BigQuery, Vertex AI, and Cloud Functions

GitScrum Time Tracking + Google ADK Use Cases

Practical scenarios where Google ADK combined with the GitScrum Time Tracking MCP Server delivers measurable value.

Enterprise data agents: ADK agents query GitScrum Time Tracking and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine GitScrum Time Tracking tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query GitScrum Time Tracking regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including GitScrum Time Tracking

GitScrum Time Tracking MCP Tools for Google ADK (28)

These 28 tools become available when you connect GitScrum Time Tracking to Google ADK via MCP:

budget_alerts

Get budget threshold alerts

budget_burndown

Get budget burn-down chart data

budget_consumption

Get budget consumption breakdown

budget_events

Get budget event log

budget_overview

Get project budget overview

completed_yesterday

Get tasks completed yesterday

contributors

Filter by period (week, month, quarter, year). Get contributor activity summary

delete_time_entry

Delete a time tracking entry

get_active_timer

Only one timer can be active at a time. Get the currently running timer

get_task

Use this to verify a task before starting a timer. Get task details by UUID

list_tasks

Filter by status (todo, in-progress, done). List project tasks for time tracking

list_time_entries

List time tracking entries for a project

log_manual_time

Use for retroactive time logging. Create a manual time entry

my_tasks

Ideal for quickly finding what to track time on. Get tasks assigned to me across all workspaces

my_today_tasks

Perfect for daily time tracking workflow. Get tasks due today

productivity_report

Get productivity report

projects_at_risk

Get projects at budget risk

standup_blockers

Get current blockers

standup_summary

Get daily standup summary

start_timer

Only one timer can be active at a time. Use stop_timer to end it. Start a timer on a task

stop_timer

Stop the running timer

stuck_tasks

Get stuck tasks

team_status

Get team member status

team_time_report

Get team time report

time_analytics

Get time tracking analytics

time_reports

Get comprehensive time reports

time_timeline

Get time entries timeline

weekly_digest

Get weekly activity digest

Example Prompts for GitScrum Time Tracking in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with GitScrum Time Tracking immediately.

"Start a timer on task WEB-42 in the web-app project."

"Give me the standup summary for today."

"Which projects are at budget risk?"

Troubleshooting GitScrum Time Tracking MCP Server with Google ADK

Common issues when connecting GitScrum Time Tracking to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

GitScrum Time Tracking + Google ADK FAQ

Common questions about integrating GitScrum Time Tracking MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.