MCP-PostgreSQL-Ops and postgres-mcp

These two tools appear to be direct competitors, both aiming to be comprehensive PostgreSQL MCP (Managed Control Plane or Management Control Panel) servers offering administration, observability, and performance analysis, with one explicitly claiming to replace many specialized tools.

MCP-PostgreSQL-Ops

Established

postgres-mcp

Emerging

Maintenance 10/25

Adoption 10/25

Maturity 15/25

Community 19/25

Maintenance 13/25

Adoption 4/25

Maturity 22/25

Community 10/25

Stars: 140

Forks: 26

Downloads: —

Commits (30d): 0

Language: Python

License: MIT

Stars: 6

Forks: 1

Downloads: —

Commits (30d): 0

Language: TypeScript

License: MIT

No Package No Dependents

No risk flags

About MCP-PostgreSQL-Ops

call518/MCP-PostgreSQL-Ops

🔍Professional MCP server for PostgreSQL operations & monitoring: 30+ extension-independent tools for performance analysis, table bloat detection, autovacuum monitoring, schema introspection, and database management. Supports PostgreSQL 12-17.

This tool helps database administrators and operations engineers efficiently monitor and manage their PostgreSQL databases. You input natural language questions, like "Show me slow queries" or "Analyze table bloat," and it provides comprehensive insights into database performance, schema details, and maintenance recommendations. This is for anyone who needs to keep their PostgreSQL databases running smoothly and identify issues quickly.

database-administration PostgreSQL performance-monitoring database-maintenance operations-engineering

About postgres-mcp

neverinfamous/postgres-mcp

PostgreSQL MCP Server: Secure Administration & Observability Featuring Code Mode—One Tool Replacing All Specialized 232 Tools for up to 90% Token Savings. Includes Connection Pooling, HTTP/SSE, OAuth 2.1, Deterministic Error Handling and Full Support for 8 Extensions (citext, HypoPG, ltree, pgcrypto, pg_cron, pg_stat_kcache, pgvector & PostGIS).

Implements a JavaScript sandbox (Code Mode) that executes multi-step database operations locally within a single tool invocation, enabling AI agents to chain 232 PostgreSQL capabilities without round-trip communication overhead. Provides 20 observability resources for real-time schema, performance, and connection metrics, plus 19 guided prompts for query optimization and extension management. Targets AI assistants and agents via MCP with dual HTTP/SSE transport, schema introspection, migration tracking with SHA-256 deduplication, and granular OAuth 2.1 scopes (`read`, `write`, `admin`, `db:*`, `table:*:*`).

Related comparisons

MCP-PostgreSQL-Ops and dbhub MCP-PostgreSQL-Ops and postgresql-mcp-server MCP-PostgreSQL-Ops and dbhub MCP-PostgreSQL-Ops and postgresql-mcp-server

Scores updated daily from GitHub, PyPI, and npm data. How scores work