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Analyze engineering data and visualize software development health.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Keypup Engineering Analytics" MCP server from askskill: Run: claude mcp add --transport http 'io-keypup-engineering-analytics' 'https://hq.keypup.io/mcp'
Based on my engineering data, generate a weekly engineering health overview and highlight key risks and trends.
A KPI overview, trend visualizations, and a summary of key issues.
Analyze delivery efficiency over the last three months, including cycle time, throughput, and bottlenecks, with visualizations.
Efficiency metrics analysis, bottleneck identification, and charts.
Using commit, PR, and defect data, identify risk signals that may affect development health.
A list of risk signals, their impact, and recommended actions.
Answer metric questions, analyze trends, compare segments, and draft data reports.
Upload business data or connect GA4/GSC for automated analytics reports.
Query GitHub engineering analytics to find review bottlenecks and stale PR issues.
Load datasets, compute statistics, and create charts for data exploration.
Quickly compute data metrics and descriptive statistics with clear analytical outputs.
Create shareable interactive HTML dashboards with charts, filters, and tables.