data-convert

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Convert between CSV, TSV, Excel, JSONL, Parquet, and other tabular formats

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Data Convert

Convert tabular data files between formats.

Cowork note: If relative paths don't resolve, call mcp__qsv__qsv_get_working_dir and mcp__qsv__qsv_set_working_dir to sync the working directory.

Supported Conversions

Input Formats (auto-detected)

CSV (.csv), TSV (.tsv/.tab), SSV (.ssv)
Excel (.xlsx, .xls, .xlsm, .xlsb)
OpenDocument (.ods)
JSONL/NDJSON (.jsonl, .ndjson)
Snappy-compressed variants (.csv.sz, etc.)

Output Formats

Format	Command	Extension
CSV	`select` (identity) or `fmt`	`.csv`
TSV	`fmt --out-delimiter '\t'`	`.tsv`
JSONL	`tojsonl`	`.jsonl`
JSON	`slice --json`	`.json`
Parquet	`mcp__qsv__qsv_to_parquet` (core tool)	`.parquet`
XLSX	`to xlsx` (via `mcp__qsv__qsv_command`)	`.xlsx`
ODS	`to ods` (via `mcp__qsv__qsv_command`)	`.ods`
SQLite	`to sqlite` (via `mcp__qsv__qsv_command`)	`.db`
PostgreSQL	`to postgres` (via `mcp__qsv__qsv_command`)	N/A
Data Package	`to datapackage` (via `mcp__qsv__qsv_command`)	`.json`

Steps

Index: Run mcp__qsv__qsv_index on the file for fast random access in subsequent steps.
Detect source format: Run mcp__qsv__qsv_sniff to identify the input format, delimiter, and encoding.
Convert: Use the appropriate command based on the target format:
- To CSV (from Excel/JSONL): The MCP server handles this automatically when you pass non-CSV files to any qsv tool. Use mcp__qsv__qsv_command with excel for explicit control over sheet selection.
- To TSV: Use mcp__qsv__qsv_command with command: "fmt", options: {"out-delimiter": "\t"}.
- To JSONL: Use mcp__qsv__qsv_command with command: "tojsonl".
- To Parquet (single file): Use mcp__qsv__qsv_to_parquet (core tool) — auto-generates stats cache and Polars schema for optimal type inference.
- To Parquet (batch): Use mcp__qsv__qsv_command with command: "to", subcommand: "parquet", destination: "output_dir" for batch conversion with explicit compression control.
- To XLSX: Use mcp__qsv__qsv_command with command: "to", subcommand: "xlsx", destination: "output.xlsx".
- To ODS: Use mcp__qsv__qsv_command with command: "to", subcommand: "ods", destination: "output.ods".
- To SQLite: Use mcp__qsv__qsv_command with command: "to", subcommand: "sqlite", destination: "output.db".
- To PostgreSQL: Use mcp__qsv__qsv_command with command: "to", subcommand: "postgres", destination: "connection_string".
- To Data Package: Use mcp__qsv__qsv_command with command: "to", subcommand: "datapackage", destination: "output.json".
Verify output: Run mcp__qsv__qsv_count on the output (if CSV-based) to confirm row count matches input.

Notes

Excel conversion: Use --sheet to specify which sheet to convert (default: first sheet)
JSONL output respects data types from stats cache - run stats --stats-jsonl first for better type inference
Parquet conversion preserves data types efficiently and produces smaller files
For CSV -> CSV reformatting (change delimiter, quoting), use fmt command
Large Excel files may take longer to convert - the MCP server handles this transparently
When converting multiple sheets from Excel, run excel with --sheet for each sheet