Use GitScrum with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Plan and track sprints via GitScrum. manage sprint cycles, monitor KPIs, review burndown charts, and organize user stories and epics from any AI agent.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 16 capabilities
The complete GitScrum capability set.
These are the exact actions your AI can choose when you ask it to work with GitScrum.
01-04
4 capabilities in this set.
Part of 16 available through GitScrum.
- 01
Get task
Get task details by UUID
- 02
All sprints
List sprints across all workspaces
- 03
Delete sprint
This action cannot be undone. Delete an existing sprint
- 04
List epics
List epics in a project
05-08
4 capabilities in this set.
Part of 16 available through GitScrum.
- 05
Sprint progress
Get current sprint progress
- 06
Sprint stats
Get sprint statistics
- 07
Get sprint
Get sprint details
- 08
Sprint kpis
Get sprint KPIs
09-12
4 capabilities in this set.
Part of 16 available through GitScrum.
- 09
Sprint reports
Resource: burndown, burnup, performance, types, efforts, member_distribution, task, type_distribution. Get sprint reports with charts
- 10
Create sprint
Create a new sprint
- 11
Create user story
Create a user story
- 12
List sprints
List sprints in a project
13-16
4 capabilities in this set.
Part of 16 available through GitScrum.
- 13
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
- 14
List user stories
List user stories in a project
- 15
Sprint metrics
Get detailed sprint metrics
- 16
Update sprint
Update an existing sprint
Observed, not estimated
993ms average. Fast in production.
GitScrum is checked daily against the live service.
- Fastest day
- 761ms
- Slowest day
- 1243ms
- 14-day trend
- Slowing+30%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 16 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of GitScrum, so you can see the experience inside your AI.
It does not authenticate your account with GitScrum. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
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"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions GitScrum owners ask.
- 01
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.
- 02
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.
- 03
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.
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