• COMPLETED
  • STUCK
  • ACTIVE
  • HUMAN

How to summarize sprint progress with your AI

Connect your Atlassian account once. After that, your AI handles the heavy lifting of auditing boards and drafting updates.

Ask AI about this page

Short answer

How can I use AI to summarize my Jira sprints?

Your AI audits your active boards and specific sprints to pull together status reports. It identifies what got finished and what's stuck, giving you a clear breakdown of progress.

The outcomes.

What your reports will include.

The AI pulls data from your Jira environment to create these specific outputs.

COMPLETED

Finished work lists

The AI identifies every issue marked as done within a specific sprint. You get a clean list of accomplishments for your stakeholders.

STUCK

Blocker identification

It looks for issues that haven't moved or are flagged. This helps you spot where the team is hitting walls before the meeting starts.

ACTIVE

Current sprint health

By checking the status of all items in a sprint, the AI calculates how much work is left. You'll know if you're on track to finish on time.

HUMAN

Final review needed

The AI provides the raw data and the draft. You still need to read through the summary to ensure the context is right before sending it out.

The workflow

What your AI does when the request arrives.

The AI follows a logical path to gather your Jira data and turn it into a readable report.

  1. Locate your boards

    The AI first finds the relevant project boards you want to audit.

    list_boards

  2. Identify the sprint

    It narrows down the scope to the specific active sprint you are reporting on.

    list_sprints

  3. Gather issue data

    The AI pulls the details for every ticket within that sprint to see what happened.

    search_issues

  4. Draft the summary

    Using the gathered data, the AI writes a concise status update based on your instructions.

    search_issues

Try it

Copy these to start.

Use these prompts to trigger the first audit.

Starting points

These are opening lines. Swap out the board or sprint names for your actual Jira names.

Atlassian Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_4C51G3YFBR6QZGObvjzYxf2HTyIK8zjnkSC7foXq/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Atlassian capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "atlassian-jira-confluence-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_4C51G3YFBR6QZGObvjzYxf2HTyIK8zjnkSC7foXq/mcp"
    }
  }
}
Copy into chat04

  • Summarize the progress for the 'Mobile App' board's current sprint.

  • What issues were completed in the 'Backend API' sprint?

  • Look at the 'Design System' board and tell me what's currently blocked.

  • Give me a status report for the 'Q3 Launch' sprint based on completed work.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Atlassian once, then ask.

Just click the link to connect your account. Your credentials stay encrypted, and you can immediately start asking questions about your Jira data.

Connect Atlassian to your AI

FAQ

How this task behaves.

  • 01

    Can the AI move Jira tickets for me?

    No. The AI can only read data from your boards and sprints. You have to move tickets manually in Jira.

  • 02

    Does the AI see all my Jira projects?

    The AI can see any board or sprint you give it permission to access through your connection.

  • 03

    Can the AI delete issues?

    No. This MCP is read-only. It cannot delete, edit, or create any issues in Jira.

  • 04

    How does it know which sprint to look at?

    You tell the AI which sprint to focus on in your prompt, and it uses the list tools to find it.

  • 05

    Can I use this with any AI client?

    Yes, as long as the client supports the Model Context Protocol (MCP).

  • More questions about Atlassian? See everything the Atlassian Connector can do

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