The safety layer
for AI agents
Let AI agents work with Postgres without giving them production-destroying SQL access. EnginiQ adds guardrails, approvals, and audit visibility around real database workflows.
Built for safer database automation
Everything a team needs to let agents inspect schema, preview changes, and keep risky database actions reviewable.
AI database workflows without raw production SQL
EnginiQ is built for teams that want AI-assisted Postgres work to be useful in real environments, not just impressive in a demo. Instead of asking an agent to guess at schema state and emit unrestricted SQL, the runtime gives it safe tools for schema discovery, guarded migrations, and parameterized queries.
That matters for teams using Postgres in production, Supabase for app backends, or MCP-connected developer workflows in Cursor and Claude. Search demand will often come from phrases like "Postgres MCP", "AI database migrations", and "safe SQL for AI agents", and those are exactly the workflows this product is positioned to serve.
Schema-aware by default
Agents can inspect tables, columns, and full schema state before planning a mutation, which is materially safer than prompting for SQL against stale assumptions.
Preview-first changes
Dry-run, read-only, and approval-required paths let teams preview a migration or table change before anything touches a production database.
Auditability and trust
EnginiQ turns AI database automation into an operational workflow with traceability, approvals, and explicit policy boundaries instead of prompt-only trust.
Pricing
Pricing follows the billing model already wired into the app: a free Hobby plan and a paid Pro upgrade for higher usage.
Where buyers go next
Use these pages to convert different intents: comparison, implementation, and pricing.
Why not raw AI SQL?
A buyer-facing comparison between improvised prompts and a governed runtime with approvals.
For Supabase teams
A dedicated onboarding and positioning page for the clearest early-adopter workflow.
Blog and guides
Capture high-intent search demand around Postgres MCP, AI migrations, and safe agent workflows.
Ready to use EnginiQ?
Start with the quickstart, review pricing, or join the waitlist for hosted features.
Join the waitlist
This opens your email client to send a request to hello@enginiq.dev.
Frequently asked questions
These answer the main search and buyer questions around AI agents, Postgres safety, and MCP-based workflows.
What does EnginiQ do for AI agents and Postgres?
EnginiQ gives AI agents structured Postgres tools for schema discovery, migrations, and parameterized queries, then adds guardrails, approvals, and audit visibility around risky operations.
Does EnginiQ work with Cursor, Claude, and MCP clients?
Yes. EnginiQ exposes the same safe database workflow through a Node.js SDK, a CLI, and an MCP server that can be used by Cursor, Claude, and other MCP-compatible hosts.
Why use EnginiQ instead of raw AI-generated SQL?
Raw SQL generated by an agent is difficult to trust in production. EnginiQ makes changes preview-first, blocks unsafe operations, and supports review and approval flows.