PostgreSQL Database
This PostgreSQL MCP server enables AI assistants to interact with PostgreSQL databases through SQL queries. Built with Node.js and the Model Context Protocol SDK, it provides tools for listing database tables, retrieving schema information, and executing custom SQL queries with retry logic for improved reliability. The implementation includes robust error handling, connection pooling, and flexible configuration options that support both environment variables and shell config files for database credentials. It's particularly useful for data analysis, database exploration, and executing complex queries directly from AI workflows.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/endaoment/endaoment-postgres-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve PostgreSQL Database 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.