MCP PostgreSQL Server
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- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with PostgreSQL databases through natural language queries, schema inspection, and safe SQL execution.6 npm1-
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to interact with PostgreSQL databases through schema intelligence, query execution, and DBA tooling including index analysis and health monitoring. Features configurable access levels and audit logging for secure database operations.531 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables secure, AI-driven PostgreSQL database administration, observability, and querying with support for extensions like PostGIS and pgvector, connection pooling, and advanced tool filtering.77 npm12MIT
- AlicenseNot gradedqualityNot gradedmaintenanceProvides AI assistants with safe, controlled access to PostgreSQL databases with read-only defaults, granular permissions, query safety features, and schema introspection capabilities.1-
- AlicenseAqualityBmaintenanceEnables AI agents to analyze, optimize, and safely interact with PostgreSQL databases, including health checks, index recommendations, query planning, and SQL execution with read-only and production protection modes.15MIT
TDQS
Scored across 11 tools
Most tools are clearly distinct: query (SELECT) vs execute (DML), list_* vs describe_*, and vector_search vs resolve_mentions have different modalities. Minor overlap exists between query and execute (both run SQL, split by statement type) and between vector_search and resolve_mentions (both search), but descriptions help disambiguate.
Most tools follow a verb_noun or verb_noun_phrase pattern (connect_db, validate_sql, list_schemas, describe_tables, vector_search). However, 'query' and 'execute' are bare verbs that break the pattern, and 'resolve_mentions' is more descriptive than action-oriented. The mix is readable but not fully consistent.
11 tools is well within the ideal range for a database server and each tool covers a distinct capability (connection, querying, validation, schema introspection, vector operations). No tool feels redundant or excessive.
Core row-level CRUD is covered (query for SELECT, execute for INSERT/UPDATE/DELETE) and schema introspection plus vector features are present. However, there is no DDL support (CREATE/ALTER/DROP), no transaction control, and no explicit disconnect, which are notable gaps for a general PostgreSQL server.