This works by exposing to agent single new mcp tool call allowing it to request review.

MCP creates new codex instance in the background and uses app-protocol to request identical flow as /review with option to include additional review instructions.

GPT-5.5 started to be very good and providing meaningful instructions, describing what was desired intent of introduced changes.

This works much better than /review + "fix it" approach, as review result is passed to agent that have while implementation knowledge.

This resolves 2 failure modes:

1. Review asks to restore what we are trying to change

2. Flapping between 2 issues (first review resolves issue by introducing second one, second issue reintroduces first issue)

I decided to post this mcp right now, as it looks like there is community interest for this particular solution, therefore I wanted to present my existing and already battle tested implementation.