Plugin · Claude Code · LLM Integration

Xiaolai Codex Toolkit For Claude

xiaolai-codex-toolkit-for-claude is a Claude Code plugin for the Ship phase that connects OpenAI Codex via MCP to audit, implement, verify, and debug your codebase.

by xiaolai · github.com/xiaolai/codex-toolkit-for-claude

Bridge Claude Code to OpenAI Codex over MCP so you can audit, implement, verify, and debug code with a second model without leaving the agent.

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Install

Add it to Claude Code

Install the plugin in Claude Code. One command, paste-ready.

Install the plugin
/plugin install xiaolai-codex-toolkit-for-claude@xiaolai/codex-toolkit-for-claude
Add to ClaudeUse the Agent APISkillselion is itself an MCP server - your agent can fetch this config directly.
Agent API

Built to be called by your agent

Skillselion is itself an MCP server. Your agent can pull this entry and a paste-ready install config straight from the API - no copy-paste.

Retrieve this entry with skillselion.get_details("plugin:xiaolai/codex-toolkit-for-claude") and the paste-ready config with skillselion.get_install_config("plugin:xiaolai/codex-toolkit-for-claude").

About

What it does

xiaolai-codex-toolkit-for-claude is a one-plugin marketplace that wires OpenAI Codex into Claude Code through the Model Context Protocol. Solo builders install it when Claude alone is not enough for disciplined review, when they want a second model to implement or verify changes, or when debugging needs a dedicated Codex-backed pass without switching tools. The described surface area—audit, implement, verify, and debug—covers late build integration work and ship-time review, with debug extending into operate. You should expect MCP configuration, valid Codex access, and Claude Code as the host. The bundle is intentionally narrow: it is an integration toolkit, not a full agent skills library. Use it to add measurable review and verification steps to your existing Claude Code hooks and commands rather than as a standalone product framework.

Highlights

  • Single-plugin marketplace focused on OpenAI Codex MCP for Claude Code.
  • Supports audit, implement, verify, and debug flows in one toolkit.
  • Positions as code-review and verification layer, not a replacement IDE.
  • Developer-tools category listing with explicit MCP and Codex keywords.
  • Designed for dual-model workflows: Claude orchestrates, Codex executes reviews or patches.

Why builders use it

Staying inside Claude Code while still getting Codex-grade review, implementation checks, and debug help usually means fragile copy-paste or context switching.

After registration, Claude Code can call Codex through MCP for structured audit, verify, implement, and debug steps on the same repository context.

At a glance

  • Type - Plugin in LLM Integration.
  • Adoption - 0 installs, 21 stars, 0 votes.

FAQ

Who is xiaolai-codex-toolkit-for-claude for?

Developers who run Claude Code as their primary agent and want OpenAI Codex available for audit, implementation help, verification, and debugging through MCP.

When should I use xiaolai-codex-toolkit-for-claude?

Use it before release when you need an extra model pass on reviews, when implementing risky changes, or when debugging with Codex-backed analysis in the same workflow.

How do I add xiaolai-codex-toolkit-for-claude to my agent?

Install the xiaolai/codex-toolkit-for-claude plugin from its marketplace entry, configure the Codex MCP server per the repo README, and enable the plugin in Claude Code settings.

Discussion

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