Why pgEdge thinks MCP (not an API) is the right way for AI agents to talk to databases

pgEdge announced MCP Server for Postgres as a new service for developers building agentic AI applications.

The service is described as production-ready and works with new and existing databases running any standard Postgres version.

Postgres is open-source, traces its history back about three decades, and Postgres version 14 arrived in late 2021.

Deployment options include on-premises, self-managed cloud, and managed cloud via pgEdge Cloud; security features include HTTPS/TLS, user- and token-based authentication, and a default read-only read-write switch.

MCP Server offers full schema introspection (primary/foreign keys, indexes, column types, constraints), the article claims it reduces token usage, and it mentions AI builders/code generators like Claude Code, Cursor, and Windsurf.