Can my AI agent show me the burndown chart data for the current sprint?

Yes! Use `sprint_reports` with the resource set to 'burndown'. Your agent returns the ideal versus actual burn-down data points, so you can visualize or analyze sprint health instantly. You can also request 'burnup', 'performance', or 'member_distribution' reports.

Can I see what tasks are in a specific sprint?

Absolutely. Use `list_tasks` with the `sprint_slug` filter to see only tasks belonging to that sprint. You can further filter by status (todo, in-progress, done) to focus on what matters. Then use `get_task` to drill into any specific task for full details.

Does this integration support sprint velocity and metrics tracking?

Yes. Use `sprint_metrics` for detailed velocity, throughput, and efficiency data. Combined with `sprint_kpis` for high-level indicators and `sprint_stats` for task distribution analysis, you get a complete performance picture across any sprint.

GitScrum Sprints MCP Server for Google ADK 15 tools — connect in under 2 minutes

Name: GitScrum Sprints
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 15 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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_sprints_agent",
    instruction=(
        "You help users interact with GitScrum Sprints "
        "using 15 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

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 Sprints MCP Server

What you can do

Sprint lifecycle — create, update, delete, and inspect sprints with precise date ranges and configurations
Performance analytics — access sprint KPIs, detailed statistics, progress tracking, and velocity metrics in real-time
Visual reports — retrieve burndown, burnup, performance, and distribution chart data for any sprint
Backlog management — list and create user stories, browse epics, and view tasks filtered by sprint
Cross-workspace visibility — list sprints across all workspaces for portfolio-level oversight

Google ADK natively supports GitScrum Sprints as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 15 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

The GitScrum Sprints MCP Server exposes 15 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 Sprints to Google ADK via MCP

Follow these steps to integrate the GitScrum Sprints 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 15 tools from GitScrum Sprints via MCP

Why Use Google ADK with the GitScrum Sprints MCP Server

Google ADK provides unique advantages when paired with GitScrum Sprints 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 Sprints

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 Sprints tools with BigQuery, Vertex AI, and Cloud Functions

GitScrum Sprints + Google ADK Use Cases

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

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

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

Automated compliance checks: schedule ADK agents to query GitScrum Sprints 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 Sprints

GitScrum Sprints MCP Tools for Google ADK (15)

These 15 tools become available when you connect GitScrum Sprints to Google ADK via MCP:

all_sprints

List sprints across all workspaces

create_sprint

Create a new sprint

create_user_story

Create a user story

get_sprint

Get sprint details

get_task

Get task details by UUID

list_epics

List epics in a project

list_sprints

List sprints in a project

list_tasks

Use the sprint_slug filter to see only tasks belonging to a specific sprint. Filter by status (todo, in-progress, done). List tasks in a project, optionally filtered by sprint

list_user_stories

List user stories in a project

sprint_kpis

Get sprint KPIs

sprint_metrics

Get detailed sprint metrics

sprint_progress

Get current sprint progress

sprint_reports

Resource: burndown, burnup, performance, types, efforts, member_distribution, task, type_distribution. Get sprint reports with charts

sprint_stats

Get sprint statistics

update_sprint

Update an existing sprint

Example Prompts for GitScrum Sprints in Google ADK

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

"What's the progress of our current sprint in the web-app project?"

"Create a new sprint 'Sprint 15 — Payments' from April 14 to April 28."

"Show me the velocity metrics for the last completed sprint."

Troubleshooting GitScrum Sprints MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

GitScrum Sprints + Google ADK FAQ

Common questions about integrating GitScrum Sprints 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.