postgres-mcp
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TDQS
Scored across 10 tools
Each tool targets a distinct aspect of PostgreSQL introspection and analysis: listing databases/schemas/objects, fetching details, executing/explaining SQL, and performance tuning. Even the two index analysis tools are clearly differentiated by workload vs. specific queries.
All tool names follow a consistent verb_noun pattern using lowercase with underscores (list_*, get_*, execute_sql, explain_query, analyze_*). The naming is predictable and easy to navigate.
With 10 tools, the server is well-scoped for a PostgreSQL administration and performance analysis purpose. Each tool has a clear role without redundancy or bloat.
The tool set covers the full lifecycle of database inspection and optimization: discovery (databases, schemas, objects), exploration (details, SQL execution, explain), performance analysis (top queries, index recommendations), and health checks. No obvious gaps for its stated purpose.