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Generate visual summary reports from CSV data without exposing raw data.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-data-summary" yet — see the docs or source repo.
Generate a visual monthly sales summary report from this CSV dataset, including total revenue, month-over-month change, top 5 products, and regional distribution, with key findings written for executives.
A sales report with charts, key metrics, and an executive summary, without exposing raw row-level data.
Create a user behavior summary report from the uploaded CSV, showing active user trends, retention-related metrics, common behavior paths, and unusual patterns worth further analysis.
A product-focused visual overview highlighting trends, patterns, and anomalies.
Turn this survey CSV into a visual summary report, compare key metrics across audience segments, extract main conclusions, and suggest charts suitable for presentation.
A presentation-ready survey summary with segment comparisons, distilled conclusions, and chart recommendations.
Load datasets, compute statistics, and create charts for data exploration.
Explore CSV datasets with summaries, cleaning, correlations, and statistical tests.
Explore, analyze, and filter CSV data with schema and statistics tools.
Read, write, and summarize local research notes more efficiently.
Run end-to-end data science workflows through natural language commands.
Run statistical analysis, probability calculations, and data processing through natural language.