PostgreSQL Pro Plus
This PostgreSQL MCP server provides AI assistants with advanced database analysis and optimization capabilities, built by Crystal Corp using Python with comprehensive health monitoring, query performance analysis, and index optimization tools. The implementation offers database health checks across multiple dimensions (connections, vacuum, sequences, replication, buffer cache, constraints), query execution plan analysis with hypothetical index testing via HypoPG extension, top query identification through pg_stat_statements, and automated index recommendations with duplicate detection and bloat analysis. Built with both restricted and unrestricted access modes, connection pooling, and Docker deployment support, it serves database administrators needing AI-powered PostgreSQL optimization, developers building data-intensive applications requiring performance insights, and teams managing production databases that need automated health monitoring and query optimization recommendations.
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
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve PostgreSQL Pro Plus 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.