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AI agent for PostgreSQL (generic)

Connect PostgreSQL (generic) to your AI agent through the WorkAist MCP server.

In 60 seconds

The WorkAist PostgreSQL (generic) connector is a production-grade Model Context Protocol (MCP) server. AI agents can read and write PostgreSQL (generic) data — databases — through one consistent interface. Open-source under AGPL-3.0, self-hosted, with reversible PII redaction at the LLM boundary.

Authentication & setup

The PostgreSQL (generic) connector authenticates via HTTP Basic auth.

Username + password / app password

For self-hosted or legacy services. Use an app password when the provider supports them.

Frequently paired with PostgreSQL (generic)

FAQ

Can a WorkAist AI agent really automate PostgreSQL (generic) end-to-end?

Yes. The connector exposes read and write tools through Model Context Protocol. AI agents call them through plain-language instructions in a CLAUDE.md file — no glue code.

How does this differ from using the PostgreSQL (generic) API directly?

The connector adds permission isolation, audit logging, cost tracking per agent, and reversible PII redaction at the LLM boundary. It also presents PostgreSQL (generic) as part of a unified Knowledge Graph alongside your other tools.

What does it cost?

WorkAist is open-source under AGPL-3.0 and self-hosted, so the connector itself is free. You pay only for PostgreSQL (generic)'s own API costs (if any) and the LLM tokens your agent consumes.

Is my PostgreSQL (generic) data sent to a third party?

No. WorkAist runs in your own infrastructure. Data flows from PostgreSQL (generic) → your WorkAist instance → the LLM you choose. Sensitive fields can be tokenized before reaching the LLM.

What if PostgreSQL (generic) changes its API?

The connector is versioned and published openly. When PostgreSQL (generic) ships breaking changes, we bump the connector version and the marketplace UI surfaces the upgrade as a one-click apply.

Source code on GitHub · Licensed under AGPL-3.0 · Self-hosted, your data stays yours.