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Analyze CSV files to extract insights, summaries, and quick tabular statistics.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.CSOAI-ORG/csv-analytics-mcp" MCP server from askskill: Run: claude mcp add 'io-github-csoai-org-csv-analytics-mcp' -- npx -y csv-analytics-mcp
Analyze this CSV sales dataset, summarize revenue, order count, and average order value by month, and identify the fastest-growing month.
A monthly summary table, key trend insights, and a note on the fastest-growing month.
Inspect this CSV for missing values, duplicate rows, and anomalous numbers, then list issues by column and suggest cleaning steps.
A data quality report with problematic columns, anomaly overview, and cleaning recommendations.
Using this CSV of customer data, create basic segments by spending, activity level, and region, then summarize each segment’s characteristics.
Segment results, a summary of each group’s traits, and initial insights for operations.
Explore, analyze, and filter CSV data with schema and statistics tools.
Analyze local CSV or Parquet datasets and generate insights without full uploads.
Query Excel and CSV data in natural language for fast analysis.
Load datasets, compute statistics, and create charts for data exploration.
Explore CSV datasets with summaries, cleaning, correlations, and statistical tests.
Import spreadsheets, run queries, and get instant data insights with AI.