csv-mcp
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TDQS
Scored across 14 tools
Each tool has a distinct purpose: listing, inspecting, previewing, querying, summarizing, validating, comparing, creating, appending, updating, deleting, cleaning, and merging CSV files. The only potential overlap is preview_csv and read_csv, but the description clarifies read_csv is a backward-compatible alias.
All tools follow a consistent verb_noun pattern in snake_case (e.g., list_csv_files, inspect_csv, query_csv). No mixed conventions or irregular naming.
14 tools is well within the ideal 3-15 range for a focused domain. Each tool addresses a specific CSV operation without redundancy, except the alias read_csv which is minimal.
Covers full CRUD lifecycle (create, read, query, update, delete) plus validation, comparison, cleaning, merging, and appending. Only minor gaps like renaming columns or exporting to other formats, but core CSV tasks are well-covered.