- METRICS
- STATUS
- REPORTS
- HUMAN
Short answer
How can I track my sprint performance using AI?
Your AI pulls live data from GitScrum Sprints to calculate velocity, throughput, and burndown status. You get immediate visibility into how your current sprint is trending. Here is how it works.
Where your data lands.
The outcomes of your requests.
The AI processes your GitScrum data into these specific outputs.
METRICS
Live velocity tracking
The AI pulls throughput and velocity numbers to show how much work you're finishing. You get a clear view of your current pace.
STATUS
Burndown visibility
Get instant updates on your burndown charts. The AI identifies if you're on track to finish the sprint or if you're falling behind.
REPORTS
Automated sprint summaries
Instead of manual exports, your AI generates concise reports on progress. It highlights key performance indicators automatically.
HUMAN
Decision making
The AI provides the raw numbers and trends. You decide how to adjust the sprint backlog or reassign tasks based on those insights.
The workflow
What your AI does when the data arrives.
The AI acts as a bridge between your GitScrum data and your chat interface.
Fetch live metrics
The AI pulls current sprint numbers to establish a baseline for your performance.
sprint_statsAnalyze KPIs
It calculates specific performance indicators like throughput and velocity from the raw data.
sprint_kpisMonitor progress
The AI tracks the remaining work against the total scope to see how the sprint is moving.
sprint_progressGenerate summaries
It compiles all the gathered data into a structured format for easy reading.
sprint_reports
Try it
Copy these to start.
Use these prompts to get moving immediately.
Starting points
Swap out the bracketed text for your specific project or sprint names.
GitScrum Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_gl0YafYnxyRI6m0DWiP1wBYnwK8MYx5Y5DVvPrri/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — GitScrum capabilities are ready to use.
{
"mcpServers": {
"gitscrum-sprints-mcp": {
"url": "https://edge.vinkius.com/vk_preview_gl0YafYnxyRI6m0DWiP1wBYnwK8MYx5Y5DVvPrri/mcp"
}
}
}What is the current velocity for the 'Mobile App' sprint?
Show me the burndown progress for the 'Backend' project.
Give me a summary of our throughput for the last three sprints.
Are we on track to finish the 'API Integration' sprint based on current progress?
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect GitScrum Sprints once, then ask.
Click the link to connect your account. Your credentials stay encrypted, and you can start asking questions in your preferred AI client right away.
Connect GitScrum Sprints to your AIFAQ
How this task behaves.
- 01
Can the AI change my sprint tasks?
No. The AI can only read data to report on performance. It cannot modify, delete, or create tasks in GitScrum.
- 02
Does the AI update my GitScrum dashboard?
No. The AI provides information to you in your chat interface, but it doesn't push updates back to the GitScrum UI.
- 03
How often does the AI see new data?
The AI pulls live data every time you ask a question, so it always sees the latest updates from your sprint.
- 04
Can I get a PDF of the sprint report?
The AI can generate the text for a report, but it cannot generate or export physical files like PDFs.
- 05
Do I need to manually export data first?
No. Once connected, the AI accesses the data directly through the connector tools.
More questions about GitScrum Sprints? The Connector page answers them. See everything the GitScrum Sprints Connector can do
Connect GitScrum to Claude, Cursor, ChatGPT & more
