@LinearUncle: This is badass, it grants Codex's computer use capability to other harnesses. In my actual testing, I can now use Codex…

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Summary

A user discovers that Codex's computer-use capability can be exposed as a local MCP server and called from other harnesses like Claude Code, reporting faster and more accurate performance than the cua-driver alternative.

This is badass, it grants Codex's computer use capability to other harnesses. In my actual testing, I can now use Codex's computer use within my own xharness too, and the speed and accuracy are indeed much better than cua-driver's. The original post was about using Codex's computer use in Claude Code, with the prompt: ``` "Set up Codex's computer use as an MCP server for you on my Mac. Find the "cua_repl" entry in ~/.codex/plugins/cache/openai-bundled/unified-computer-use/<newest version>/.mcp.json and register it as a user MCP server called "codex-cu" with the same command, args and env. Then test it by using Calculator in the background to work out 12 × 12." ```
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This is badass, it grants Codex’s computer use capability to other harnesses.

In my actual testing, I can now use Codex’s computer use within my own xharness too, and the speed and accuracy are indeed much better than cua-driver’s.

The original post was about using Codex’s computer use in Claude Code, with the prompt:

"Set up Codex's computer use as an MCP server for you on my Mac. Find the "cua_repl" entry in ~/.codex/plugins/cache/openai-bundled/unified-computer-use/<newest version>/.mcp.json and register it as a user MCP server called "codex-cu" with the same command, args and env. Then test it by using Calculator in the background to work out 12 × 12."

🥔🥔🥔 (@argofowl): everyone thinks codex computer use only works inside codex

it doesn’t, it’s a local mcp server in the chatgpt mac app and claude code can just call it, even headless with claude -p

same 8-task test: opus 5.5 on codex’s engine got 6/8, codex itself got 6/8, cua driver got 3-4/8

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