Postgres Pro is an open source Model Context Protocol (MCP) server built to support you and your AI agents throughout the entire development process—from initial coding, through testing and deployment, and to production tuning and maintenance.
what is go-mcp-postgres?
go-mcp-postgres is a Model Context Protocol (MCP) server designed for interacting with Postgres databases, allowing for easy CRUD operations and automation without the need for a Node.js or Python environment.
An MCP server that enables AI agents to securely interact with PostgreSQL databases with least-privilege scopes, PII masking, and human approval for writes.
A drop-in Model Context Protocol (MCP) server that lets an AI agent query PostgreSQL — read-only, enforced at the database level, with real SQL validation, timeouts, cost limits, OAuth 2.1, and an audit trail.
Provides an AI agent with read-only PostgreSQL access, enabling schema browsing, foreign-key exploration, column search across tables, capped SELECT queries, and offline data dictionary export while rejecting write operations.
Query and manage PostgreSQL databases from Claude Code, Cursor, and any MCP client, with read-only by default and built-in schema introspection, EXPLAIN, and performance diagnostics.
Enables AI agents to sync WHOOP recovery, sleep, workouts, cycles, and body-measurement data into a local Postgres database and query it through fast, offline-capable MCP tools without repeatedly hitting WHOOP API rate limits.
A self-hostable PostgreSQL MCP server for exploring database schemas and running guarded read/write queries with selectable access modes (readonly, readwrite, admin), plus a dry-run confirm workflow for safety.
Provides PostgreSQL database management and analysis via MCP, enabling schema exploration, query execution, performance monitoring, and database health checks.
A Model Context Protocol (MCP) server for PostgreSQL that provides safe, structured access to your database for AI assistants, enabling health checks, index tuning, lock analysis, and more.
Enables AI agents to analyze, optimize, and safely interact with PostgreSQL databases, including health checks, index recommendations, query planning, and SQL execution with read-only and production protection modes.