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Openai Codex MCP Server

@agency-ai-solutions

代码仓库

基本信息

分类

AI 与智能体

许可证

NOASSERTION

传输方式

stdio

作者

agency-ai-solutions

关于 Openai Codex MCP Server

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

#openai-codex#mcp-server#api-wrapper

Openai Codex MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "openai-codex-mcp": {
      "command": "uv",
      "args": [
        "venv",
        "#",
        "creates",
        "a",
        ".venv/",
        "directory"
      ]
    }
  }
}

Openai Codex MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

1

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.

2

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.

3

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.

4

Does the server support authentication?

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

5

What transport protocol does it use?

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

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