I created this tool because I wanted to automate /review for uncommitted changes that I was doing manually.
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.
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.