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Explore, analyze, and filter CSV data with schema and statistics tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "csv-explorer-mcp" yet — see the docs or source repo.
Inspect this CSV file and give me the column list, inferred data types, first 10 sample rows, and missing value statistics.
Returns columns, inferred types, sample rows, and a missing-value overview for quick dataset understanding.
Analyze this sales CSV and report the max, min, mean, and median for numeric columns, then identify fields with many outliers.
Provides summary statistics for numeric fields and flags columns with potential outlier issues.
Filter this CSV for records where order amount is greater than 1000 and status is "completed", then show the first 20 results.
Returns a sample of filtered matching records for further analysis or export.
Explore CSV datasets with summaries, cleaning, correlations, and statistical tests.
Manipulate, update, and organize Excel files through AI-driven commands.
Load datasets, compute statistics, and create charts for data exploration.
Analyze local CSV or Parquet datasets and generate insights without full uploads.
Create, read, and edit Excel files with AI, no Excel installation required.
Safely explore, profile, and query SQLite and PostgreSQL databases with AI.