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OpenAI Codex MCP Server

@Tomatio13

基本情報

カテゴリ

AI とエージェント

ライセンス

View license

トランスポート

stdio

作者

Tomatio13

OpenAI Codex MCP Server について

An MCP server to wrap the OpenAI Codex CLI for use with Claude Code

OpenAI Codex MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "openai-codex-mcp-tomatio13": {
      "command": "python",
      "args": [
        "codex_server.py",
        "--mode",
        "stdio"
      ]
    }
  }
}

OpenAI Codex MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is OpenAI Codex MCP Server?

OpenAI Codex MCP Server wraps OpenAI Codex CLI as an MCP (Model Context Protocol) server for integration with Claude. It provides tools to generate, explain, debug, refactor, and secure code using Codex capabilities directly from Claude.

How to use OpenAI Codex MCP Server?

Clone the repository, run ./setup.sh, then start the server using ./run.sh (stdio mode for Claude Desktop) or ./run_sse.sh [port] [host] (SSE mode for Web API). Configure Claude Desktop to use the server by adding an entry with command python /path/to/codex_server.py --mode stdio to the Claude Desktop configuration file. After setup, invoke tools like @openai-codex codex_agent or @openai-codex codex_interactive with relevant parameters.

Key features of OpenAI Codex MCP Server

  • Provides codex_agent and codex_interactive tools
  • Supports code generation, explanation, debugging, refactoring
  • Includes security analysis, test creation, documentation generation
  • Multimodal support (image input)
  • Multiple AI provider support (OpenAI, Azure, Gemini, Ollama, etc.)
  • 3‑level automation modes: suggest, auto‑edit, full‑auto
  • Runs in both stdio and SSE modes

Use cases of OpenAI Codex MCP Server

  • Generate new code from natural language prompts
  • Debug and fix bugs in existing codebases
  • Perform security analysis and apply fixes
  • Write or improve documentation and tests
  • Explain complex code sections interactively

よくある質問

1

What are the prerequisites for using this server?

You need Node.js with `npm install -g @openai/codex`, Python 3.12 or higher, and a `.env` file copied from `.env.example`.

2

What modes does the server support?

The server supports stdio mode (for Claude Desktop) and SSE mode (for Web API integration).

3

What tools does the server provide?

Two tools: `codex_agent` (comprehensive Codex features) and `codex_interactive` (interactive sessions).

4

What approval modes are available?

Three modes: `suggest` (only suggests changes, requires approval), `auto-edit` (automatic file read/write, asks for shell commands), and `full-auto` (full autonomy with network‑disabled sandbox).

5

How does security work in full‑auto mode?

The server runs `full-auto` mode in a network‑disabled sandbox. File operations are limited to the current working directory, and all shell commands require explicit approval unless in `full-auto` mode.

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