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Profiles tabular files and returns schema, stats, quality issues, and dtype suggestions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "data-profiler-mcp" yet — see the docs or source repo.
Use data-profiler-mcp to analyze this CSV file and return structured JSON with schema, basic statistics, data quality issues, and dtype suggestions.
A JSON object with columns, per-column statistics, data quality issues, and dtype suggestions.
Analyze this Excel sheet, identify the table schema, summary statistics, potential data quality issues, and suitable column type suggestions.
Structured analysis results useful for cleaning or modeling.
Profile this JSON tabular data: extract schema, statistics, quality issues, and dtype suggestions, returned as JSON.
Structured JSON analysis ready for downstream processing.
A data analyst can quickly inspect new CSV, Parquet, or Excel files to see schema, distributions, and data quality issues. It is useful for early exploration before cleaning or modeling.
A developer can use it to inspect column type suggestions and anomalous values in tabular inputs. This helps reduce downstream parsing errors.
A researcher working with JSON or spreadsheet-based experiment results can quickly summarize structure and data quality issues. This supports later analysis.
It profiles and analyzes tabular data files, including CSV, Parquet, Excel, and JSON. It extracts schema, statistics, data quality issues, and dtype suggestions, returning structured JSON.
The description explicitly mentions CSV, Parquet, Excel, and JSON.
The output is structured JSON containing schema, statistical summaries, data quality issues, and type suggestions.
Explore CSV datasets with summaries, cleaning, correlations, and statistical tests.
Analyze local CSV or Parquet datasets and generate insights without full uploads.
Load datasets, compute statistics, and create charts for data exploration.
Explore, analyze, and filter CSV data with schema and statistics tools.
Query Excel and CSV data in natural language for fast analysis.
Safely explore, profile, and query SQLite and PostgreSQL databases with AI.