PostgreSQL MCP Server
Related Servers
Alternatives to PostgreSQL MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceProvides PostgreSQL database management and analysis via MCP, enabling schema exploration, query execution, performance monitoring, and database health checks.3637 npmMIT
- AlicenseAqualityAmaintenanceMCP server with 14 tools for PostgreSQL database operations. Query databases, explore schemas, analyze tables, with SQL injection prevention and read-only mode by default.1410MIT
- AlicenseNot gradedqualityDmaintenanceAn open-source MCP server for PostgreSQL schema introspection and guarded read-only queries. It enables MCP clients to discover schemas, tables, columns, indexes, relationships, and safe queryable data from a configured PostgreSQL database.6 npmMIT
- AlicenseAqualityCmaintenanceEnables secure querying of PostgreSQL databases through MCP-compatible clients. Supports read-only SQL execution, table exploration, and connection management with built-in security validation.318 npm9MIT
- AlicenseAqualityCmaintenanceA Python-based MCP server for interactive PostgreSQL data exploration, schema discovery, and safe SQL execution with support for stored procedures. It also enables automation through external HTTP API requests and local bash script execution on Fedora and Linux systems.19MIT
- FlicenseNot gradedqualityDmaintenanceA local MCP server for PostgreSQL that provides tools for SQL execution, metadata inspection, performance diagnostics, and database management through natural language.-
TDQS
Scored across 36 tools
Most tools have distinct purposes, but there is some overlap between pg_bloat_report and pg_table_stats, and between several list* tools. However, descriptions are clear enough to disambiguate.
All tools use the 'pg_' prefix and follow a consistent snake_case pattern, with most using verb_noun or noun_noun, which is predictable and clear.
36 tools is high, but each serves a specific purpose in database management, from querying to schema inspection and performance monitoring. The count is slightly over typical but well-scoped for the domain.
The tool set covers the full lifecycle of database interaction: read/write queries, schema exploration, performance analysis, maintenance tasks, and transaction management. No obvious gaps for a general-purpose PostgreSQL server.