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 AutoGen 15 tools — connect in under 2 minutes

Name: GitScrum Sprints
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 15 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add GitScrum Sprints as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

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

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="gitscrum_sprints_agent",
            tools=tools,
            system_message=(
                "You help users with GitScrum Sprints. "
                "15 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use GitScrum Sprints tools. Connect 15 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

The GitScrum Sprints MCP Server exposes 15 tools through the Vinkius. Connect it to AutoGen 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 AutoGen via MCP

Follow these steps to integrate the GitScrum Sprints MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 15 tools from GitScrum Sprints automatically

Why Use AutoGen with the GitScrum Sprints MCP Server

AutoGen provides unique advantages when paired with GitScrum Sprints through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use GitScrum Sprints tools to solve complex tasks

Role-based architecture lets you assign GitScrum Sprints tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive GitScrum Sprints tool calls

Code execution sandbox: AutoGen agents can write and run code that processes GitScrum Sprints tool responses in an isolated environment

GitScrum Sprints + AutoGen Use Cases

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

Collaborative analysis: one agent queries GitScrum Sprints while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from GitScrum Sprints, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using GitScrum Sprints data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process GitScrum Sprints responses in a sandboxed execution environment

GitScrum Sprints MCP Tools for AutoGen (15)

These 15 tools become available when you connect GitScrum Sprints to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

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

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

GitScrum Sprints + AutoGen FAQ

Common questions about integrating GitScrum Sprints MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call GitScrum Sprints tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.