Run insane-review (GPT Pro web review) from any harness — pipx CLI + MCP server over the pinned upstream engine (fivetaku/insane-review).
View on GitHub ↗Run insane-review from any harness — not just Claude Code.
GPT Pro (the Pro reasoning tier of the current flagship, currently GPT-5.6 Sol) has no API. insane-review reaches it anyway by driving your logged-in ChatGPT web session over CDP: it repomix-packs the relevant code, sends it to Pro, and harvests the review at zero API cost. The upstream project ships that as a Claude Code plugin.
This repo makes the same engine usable from any harness — via a pipx CLI and an MCP server — without forking the engine.
Not a fork. The engine (packandask.py, MIT, by @fivetaku) is pinned by commit SHA and fetched on first use, never copied into this repo. One canonical engine, no duplicated maintenance. This repo only adds the cross-harness distribution layer (packaging + MCP + adapters).
upstream fivetaku/insane-review this repo --------- Engine (packandask.py) canonical home pinned + fetched (not copied) Claude Code plugin ✅ use upstream's pipx CLI on $PATH — ✅ insane-review MCP server (any MCP host) — ✅ insane-review-mcp Harness adapters (Codex, generic, …) — ✅ adapters/
If you only use Claude Code, install upstream directly — you don't need this.
On first use the pinned engine is fetched into ~/.cache/insane-review-mcp/. Refresh it with insane-review --update-engine; inspect the pin with insane-review --engine-info.
One-time browser bridge (required for a live review)
Pro is web-only, so you need a logged-in browser on a debug port:
From the project README.
Add the radar badge to your README — it shows your project was picked up by MCP Radar and links to this page:
[](https://mcp.liqiwa.com/s/devswha--insane-review-mcp.html)
Turn scattered notes, docs and transcripts into a queryable Markdown wiki — an LLM knowledge-base compiler with MCP access, no embeddings, self-hosted.
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