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openai-codex-mcp

@agency-ai-solutions

openai-codex-mcp について

An MCP server to communicated with, use, and wrap the API for the OpenAI Codex CLI tool.

基本情報

カテゴリ

AI とエージェント

ライセンス

NOASSERTION

ランタイム

python

トランスポート

stdio

公開者

agency-ai-solutions

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": {
      "command": "uv",
      "args": [
        "venv",
        "#",
        "creates",
        "a",
        ".venv/",
        "directory"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

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?

openai-codex-mcp is a JSON-RPC server that wraps the OpenAI Codex CLI tool, enabling Claude Code to use OpenAI’s models for code generation, explanation, and debugging within the same interface.

How to use openai-codex-mcp?

Install with uv pip install . after creating a venv, then run codex_server (or uvicorn codex_server:app). Register it in Claude Code via claude mcp add /path/to/openai_codex_mcp.json or manually with base URL http://localhost:8000/ and protocol JSON-RPC 2.0. No authentication needed.

Key features of openai-codex-mcp

  • Specialized methods: write_code, explain_code, debug_code
  • Supports multiple OpenAI models (O‑series and GPT)
  • Simplified parameter naming for easy integration
  • Runs as a lightweight, standalone Python server
  • No authentication required for the MCP server itself

Use cases of openai-codex-mcp

  • Generate code in a specific language for a given task
  • Obtain detailed explanations of how code works
  • Find and fix bugs in problematic code
  • Leverage different OpenAI models (o4‑mini, gpt‑4o, etc.) for specialized tasks

FAQ from openai-codex-mcp

What makes this MCP server different from directly using the Codex CLI?

It provides a JSON-RPC interface specifically designed for Claude Code, with dedicated methods for common coding tasks and simplified parameter naming.

What are the runtime requirements?

Python 3.12+, the OpenAI Codex CLI tool (installed via npm install -g @openai/codex), and a valid OpenAI API key configured for the Codex CLI.

Where does the code/data processed by the server live?

The README does not specify data storage; all processing occurs locally via the Codex CLI and the MCP server on localhost.

Does the server support authentication?

No – the base URL configuration does not require an authentication token.

What transport protocol does it use?

JSON-RPC 2.0 over HTTP, listening on port 8000 by default.

コメント

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