csv-explorer-mcp
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TDQS
Scored across 12 tools
Tools are largely distinct with clear purposes. csv_search and csv_filter both retrieve matching records but differ in query syntax (regex vs expression), which could cause some initial confusion. csv_inspect and csv_schema provide different levels of overview, but descriptions clarify the difference.
All tools share the csv_ prefix and snake_case, creating a recognizable family. However, naming style is inconsistent: some use verbs (csv_filter, csv_validate), some nouns (csv_schema, csv_stats), and some adjective_noun (csv_large_fields). This slight inconsistency prevents a perfect score.
At 12 tools, the count is well-suited to the server's purpose of comprehensive CSV exploration. Each tool addresses a distinct aspect, and the count is neither sparse nor bloated.
The tool set covers the core lifecycle of CSV analysis: inspection, sampling, schema, stats, search/filter, validation, monitoring, diffing, and handling large fields. Minor gaps include lack of sorting or column manipulation, but these are beyond the apparent scope.