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codex-cli-mcp
by nayagamez

Bridge OpenAI Codex CLI to any MCP client

English | 한국어

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Overview

An MCP (Model Context Protocol) server that wraps OpenAI Codex CLI as tools. It enables MCP clients like Claude Desktop, Cursor, and Windsurf to run Codex CLI sessions in headless mode.

Related MCP server: Codex Bridge MCP

Prerequisites

1. Install Codex CLI

Install Codex CLI (docs) and make sure it is available in your PATH:

# npm
npm install -g @openai/codex

# Homebrew (macOS)
brew install --cask codex

Or download the binary from GitHub Releases.

2. Authenticate

Option A — ChatGPT Login (Recommended)

Run codex and select "Sign in with ChatGPT". Requires a Plus, Pro, Team, Edu, or Enterprise plan.

Option B — API Key

For headless / CI environments:

export OPENAI_API_KEY="your-api-key"

See the Codex Authentication docs for more details.

Tools

See Codex Models for available models.

codex

Start a new Codex CLI session.

Parameter

Type

Required

Description

prompt

string

Yes

The prompt to send to Codex

model

string

No

Model name override

effort

enum

No

Reasoning effort: medium, high, xhigh, max (auto-selected by task complexity)

sandbox

enum

No

read-only, workspace-write, or danger-full-access

cwd

string

No

Working directory for the session

profile

string

No

Configuration profile from config.toml

config

object

No

Config overrides as key-value pairs

timeout

number

No

Timeout in ms (default: 600000 = 10 min)

codex-reply

Continue an existing Codex CLI session.

Parameter

Type

Required

Description

prompt

string

Yes

The follow-up prompt

threadId

string

Yes

Thread ID from a previous codex call

model

string

No

Model name override

effort

enum

No

Reasoning effort: medium, high, xhigh, max (auto-selected by task complexity)

config

object

No

Config overrides as key-value pairs

timeout

number

No

Timeout in ms (default: 600000 = 10 min)

Setup

For Humans

Copy the prompt below and paste it into your LLM agent — it will install and configure everything automatically:

Install and configure @nayagamez/codex-cli-mcp by following: https://raw.githubusercontent.com/nayagamez/codex-cli-mcp/main/docs/guide/installation.md

Or set it up manually — see Manual Setup below.

For LLM Agents

curl -s https://raw.githubusercontent.com/nayagamez/codex-cli-mcp/main/docs/guide/installation.md

Manual Setup

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "codex-cli-mcp": {
      "command": "npx",
      "args": ["-y", "@nayagamez/codex-cli-mcp"]
    }
  }
}

Add to your MCP settings:

{
  "mcpServers": {
    "codex-cli-mcp": {
      "command": "npx",
      "args": ["-y", "@nayagamez/codex-cli-mcp"]
    }
  }
}
claude mcp add codex-cli-mcp -- npx -y @nayagamez/codex-cli-mcp

Progress Notifications

The server sends MCP progress notifications in real-time as Codex processes your request. This lets MCP clients know the server is alive and working, not hanging.

Progress messages include:

  • [5s] Session started (thread: ...) — session initialized

  • [12s] Command executed: npm test — a command was run

  • [18s] Message: Refactoring the auth module... — agent reasoning

  • [25s] Turn completed — turn finished

Idle-based Timeout

The timeout is idle-based, not absolute. The timer resets every time the server receives an event from Codex. This means long-running tasks with continuous activity will never timeout, while truly stuck processes will be killed after the configured idle period.

  • Default idle timeout: 10 minutes

  • Override per-call via timeout parameter, or globally via CODEX_TIMEOUT_MS

Environment Variables

Variable

Default

Description

CODEX_CLI_PATH

codex

Path to the Codex CLI binary

CODEX_TIMEOUT_MS

600000 (10 min)

Idle timeout for Codex process

CODEX_MCP_DEBUG

(unset)

Set to enable debug logging to stderr

How It Works

MCP Client  →  Tool Call (codex / codex-reply)
            →  Spawn `codex exec --json --full-auto` as subprocess
            →  Stream JSONL events from stdout
            →  Send progress notifications back to client
            →  Return formatted results when done
  1. The MCP client sends a tool call (codex or codex-reply)

  2. The server spawns Codex CLI with --json and --full-auto flags

  3. The prompt is passed via stdin

  4. JSONL events are streamed and parsed in real-time

  5. Progress notifications are sent to the client on each event (idle timer resets)

  6. Results (messages, commands, errors, token usage) are formatted as markdown and returned

License

MIT

Available Tools

2 tools
codexA

Run a Codex CLI session. Executes codex exec as a subprocess and returns the result.

Use this tool to start a new coding task with Codex. The response includes a Thread ID that can be used with the codex-reply tool to continue the conversation.

Inputs: prompt (required), cwd, model, config, +4 more.

codex-replyA

Continue a Codex CLI conversation by providing the thread ID from a previous codex call and a follow-up prompt.

Uses codex exec resume to load the previous session from disk and continue the conversation.

Inputs: prompt (required), threadId (required), model, config, +2 more.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A3.9/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have clearly distinct purposes: codex starts a new conversation, while codex-reply continues an existing one using a thread ID. There is no ambiguity between them, as each accepts different inputs and performs a different action.

    Naming Consistency4/5

    Both tool names share the 'codex' prefix, but 'codex' is a standalone verb while 'codex-reply' is a compound with a hyphen. This is a minor inconsistency, but the pattern is predictable and readable, clearly indicating the primary action and the continuation action.

    Tool Count3/5

    With only 2 tools, the set is on the low end of the range, but it is appropriate for the narrow scope of running Codex CLI sessions. The tools cover the essential start and continue operations, though the set feels thin compared to more comprehensive servers.

    Completeness4/5

    The core lifecycle of starting and continuing a conversation is covered, which covers the main use case. However, there are no tools for listing active threads, ending sessions, or retrieving session history, which are minor gaps given the focus on interactive coding tasks.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

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