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Create data-grounded sprint retrospectives from Jira, GitHub, and Slack activity.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Data-grounded sprint retro" MCP server from askskill: Run: claude mcp add 'io-github-sathvic-kollu-retro-mcp' -- npx -y retro-mcp
Using our Jira, GitHub, and Slack activity from the last two weeks, generate a sprint retrospective summarizing what went well, blockers, delivery pace, and collaboration patterns.
A structured retrospective report with highlights, issues, risks, and actionable improvement suggestions.
Analyze Jira ticket flow, GitHub PR cycle times, and Slack communication in this sprint to identify the main delivery bottlenecks and rank them by impact.
A prioritized list of bottlenecks with the supporting data behind each one.
Based on this sprint’s Jira, GitHub, and Slack data, propose 3-5 actionable improvements for the next sprint, including expected benefits and success metrics.
A clear list of improvement actions with goals, expected outcomes, and measurement methods.
Access QRetro retrospectives, summaries, action items, and team metrics.
Connect JIRA sprint data to MCP for querying, analysis, and automation.
Generate clear daily standup updates from recent commits, PRs, and ticket changes.
Generate daily or weekly cross-source digests of mentions, action items, and updates.
Analyze Jira projects with daily, sprint, and backlog PM insights.
Retrieve and update Jira issues, analyze requirements, and streamline team workflows.