PostgreSQL
PostgreSQL MCP is a database tuning and analysis tool that provides real-time insights into PostgreSQL performance. It offers tools for analyzing query execution plans, identifying slow queries, monitoring database health metrics, and recommending index optimizations. The server implements features like hypothetical index testing, transaction health monitoring, and buffer cache analysis, making it valuable for database administrators and developers who need to optimize query performance, troubleshoot bottlenecks, or maintain healthy PostgreSQL databases. Built with Python 3.12 and packaged as a Docker container, it supports both PostgreSQL 15 and 16 with a focus on read-only safety through restricted access modes.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/crystaldba/postgres-mcp
- Author type
- human
- Updated
- 2026-05-27
Use via MCP
Resolve PostgreSQL from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.