PostgreSQL
Postgres MCP is a server implementation that provides a standardized interface for AI agents to interact with PostgreSQL databases through a set of well-defined commands. Developed by Tyr Chen, it enables connection management, data operations (SELECT, INSERT, UPDATE, DELETE), and schema manipulation (CREATE/DROP tables and indexes) through a secure API that validates SQL statements before execution. The server uses sqlx for database connectivity and sqlparser for SQL validation, ensuring only allowed operations are performed. It's particularly useful for AI assistants that need to query databases, manage database schemas, or perform data operations without direct access to database drivers.
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/tyrchen/postgres-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
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.