duckdb-analytics-mcp
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TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose: list_datasets for table inventory, describe_table for schema details, query for running SQL, profile_column for column-level analysis, and explain for query planning. There is no overlap or ambiguity between them.
All tool names follow a consistent lowercase_with_underscores convention, with a verb-led pattern (list_, describe_, query, profile_, explain). Though 'query' and 'explain' are single verbs, the naming is predictable and uniform.
With 5 tools, the server is well-scoped for an analytics warehouse. Each tool fills a necessary niche without redundancy, making the set feel lean but complete.
The tool surface covers the full analytical workflow: discover datasets, understand schema, profile data, run queries, and plan expensive queries. There are no obvious missing operations for the stated purpose of read-only analytics.