openai-codex-mcp
@agency-ai-solutions
About openai-codex-mcp
An MCP server to communicated with, use, and wrap the API for the OpenAI Codex CLI tool.
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"openai-codex-mcp": {
"command": "uv",
"args": [
"venv",
"#",
"creates",
"a",
".venv/",
"directory"
]
}
}
}Tools
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Overview
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.
Frequently asked questions
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.
Basic information
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