@yawlabs/postgres-mcp
Related Servers
Alternatives to @yawlabs/postgres-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables read-only, SELECT-only querying of any Postgres database through MCP-compatible clients like Claude, with schema introspection and guarded SQL execution.MIT
- AlicenseAqualityBmaintenanceExposes PostgreSQL query execution, EXPLAIN, and schema inspection tools to MCP-compatible clients like Claude Desktop.31MIT
- AlicenseAqualityDmaintenanceConnects Claude to any PostgreSQL database, enabling schema exploration, query execution, and performance analysis through natural conversation.76 npm1MIT
- FlicenseNot gradedqualityDmaintenanceEnables natural language querying of PostgreSQL databases through the Model Context Protocol. It translates user questions into validated SQL, executes read-only queries safely, and returns results to MCP-compatible clients like Claude Desktop.-
- FlicenseNot gradedqualityDmaintenanceProvides authenticated access to PostgreSQL databases for Claude AI, enabling users to browse database tables, discover schemas, and execute custom SQL queries through natural language interaction.-
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to safely interact with PostgreSQL databases, perform queries, inspect schemas, and analyze query performance.2-
TDQS
Scored across 23 tools
Tools are mostly distinct with clear purposes, but pg_health aggregates connections and active queries, which have dedicated tools (connections, active_queries), creating minor overlap. Descriptions are detailed enough to differentiate, but an agent might initially confuse pg_health with these dedicated tools.
Most tools follow the pg_ prefix convention (pg_explain, pg_health, pg_kill), but three tools (connections, active_queries, database_stats) break this pattern without the prefix. This inconsistency is minor but noticeable, making the naming slightly unpredictable.
With 23 tools, the server is at the upper edge of the borderline range (16-25). While each tool serves a specific monitoring or management purpose, the large number could feel heavy, though it is justified given the comprehensive coverage of PostgreSQL features.
The tool set covers a wide range of PostgreSQL operations: query execution, health checks, connection monitoring, active queries, I/O stats, schema inspection, index advisory, performance analysis, locks, roles, privileges, replication, bloat, and a roll-up advisor. This is a complete surface for DBA-style monitoring and management, with no obvious gaps.