Provides integration with OpenAI's Codex CLI, enabling code analysis, automated refactoring, documentation generation, and interactive code editing with approval workflows and sandbox execution modes
Codex MCP Tool
Codex MCP Tool is an open‑source Model Context Protocol (MCP) server that connects your IDE or AI assistant (Claude, Cursor, etc.) to the Codex CLI. It enables non‑interactive automation with codex exec, safe sandboxed edits with approvals, and large‑scale code analysis via @ file references. Built for reliability and speed, it streams progress updates, supports structured change mode (OLD/NEW patch output), and integrates cleanly with standard MCP clients for code review, refactoring, documentation, and CI automation.
Ask Codex questions from your MCP client, or brainstorm ideas programmatically.
TLDR:
+ Codex CLI
Goal: Use Codex directly from your MCP-enabled editor to analyze and edit code efficiently.
Prerequisites
Before using this tool, ensure you have:
One-Line Setup
Verify Installation
Type /mcp inside Claude Code to verify the Codex MCP is active.
Alternative: Import from Claude Desktop
If you already have it configured in Claude Desktop:
Add to your Claude Desktop config:
Import to Claude Code:
Configuration
Register the MCP server with your MCP client:
For NPX Usage (Recommended)
Add this configuration to your Claude Desktop config file:
For Global Installation
If you installed globally, use this configuration instead:
Configuration File Locations:
Claude Desktop:
macOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonWindows:
%APPDATA%\Claude\claude_desktop_config.jsonLinux:
~/.config/claude/claude_desktop_config.json
After updating the configuration, restart your terminal session.
Example Workflow
Natural language: "use codex to explain index.html", "understand this repo with @src", "look for vulnerabilities and suggest fixes"
Claude Code: Type
/codex-clito access the MCP server tools.
Usage Examples
Model Selection
With File References (using @ syntax)
ask codex to analyze @src/main.ts and explain what it doesuse codex to summarize @. the current directoryanalyze @package.json and list dependencies
General Questions (without files)
ask codex to explain div centeringask codex about best practices for React development related to @src/components/Button.tsx
Brainstorming & Ideation
brainstorm ways to optimize our CI/CD pipeline using SCAMPER methoduse codex to brainstorm 10 innovative features for our app with feasibility analysisask codex to generate product ideas for the healthcare domain with design-thinking approach
Codex Approvals & Sandbox
Codex CLI supports fine-grained control over permissions and approvals through sandbox modes and approval policies.
Understanding Parameters
The
sandbox: true→ Enables fullAuto mode (equivalent tofullAuto: true)sandbox: false(default) → Does NOT disable sandboxing, just doesn't enable auto modeImportant: The
sandboxparameter is a convenience flag, not a security control
Granular Control Parameters:
sandboxMode: Controls file system access levelapprovalPolicy: Controls when user approval is requiredfullAuto: Shorthand forsandboxMode: "workspace-write"+approvalPolicy: "on-failure"yolo: ⚠️ Bypasses all safety checks (dangerous, not recommended)
Sandbox Modes
Mode | Description | Use Case |
| Analysis only, no file modifications | Code review, exploration, documentation reading |
| Can modify files in workspace | Most development tasks, refactoring, bug fixes |
| Full system access including network | Advanced automation, CI/CD pipelines |
Approval Policies
Policy | Description | When to Use |
| No approvals required | Fully trusted automation |
| Ask before every action | Maximum control, manual review |
| Only ask when operations fail | Balanced automation (recommended) |
| Maximum paranoia mode | Untrusted code or high-risk changes |
Configuration Examples
Example 1: Balanced Automation (Recommended)
Example 2: Quick Automation (Convenience Mode)
Example 3: Read-Only Analysis
Smart Defaults (v1.2+)
Starting from version 1.2.0, the server automatically applies intelligent defaults to prevent permission errors:
✅ If
approvalPolicyis set butsandboxModeis not → auto-setssandboxMode: "workspace-write"✅ If
search: trueoross: true→ auto-setssandboxMode: "workspace-write"(for network access)✅ All commands include
--skip-git-repo-checkto prevent errors in non-git environments
Troubleshooting Permission Errors
If you encounter ❌ Permission Error: Operation blocked by sandbox policy:
Check 1: Verify sandboxMode
Check 2: Use convenience flags
Check 3: Update to latest version
Basic Examples
use codex to create and run a Python script that processes dataask codex to safely test @script.py and explain what it does
Default Behavior:
All
codex execcommands automatically include--skip-git-repo-checkto avoid unnecessary git repository checks, as not all execution environments are git repositories.This prevents permission errors when running Codex in non-git directories or when git checks would interfere with automation.
Advanced Examples
Tools (for the AI)
These tools are designed to be used by the AI assistant.
Core Tools
ask-codex: Sends a prompt to Codex viacodex exec.Supports
@file references for including file contentOptional
modelparameter - available models:gpt-5-codex(default, optimized for coding)gpt-5(general purpose, fast reasoning)o3(smartest, deep reasoning)o4-mini(fast & efficient)codex-1(o3-based for software engineering)codex-mini-latest(low-latency code Q&A)gpt-4.1(also available)
sandbox=trueenables--full-automodechangeMode=truereturns structured OLD/NEW editsSupports approval policies and sandbox modes
Automatically includes to prevent permission errors in non-git environments
brainstorm: Generate novel ideas with structured methodologies.Multiple frameworks: divergent, convergent, SCAMPER, design-thinking, lateral
Domain-specific context (software, business, creative, research, product, marketing)
Supports same models as
ask-codex(default:gpt-5-codex)Configurable idea count and analysis depth
Includes feasibility, impact, and innovation scoring
Example:
brainstorm prompt:"ways to improve code review process" domain:"software" methodology:"scamper"
ping: A simple test tool that echoes back a message.Use to verify MCP connection is working
Example:
/codex-cli:ping (MCP) "Hello from Codex MCP!"
help: Shows the Codex CLI help text and available commands.
Advanced Tools
fetch-chunk: Retrieves cached chunks from changeMode responses.Used for paginating large structured edit responses
Requires
cacheKeyandchunkIndexparameters
timeout-test: Test tool for timeout prevention.Runs for a specified duration in milliseconds
Useful for testing long-running operations
Slash Commands (for the User)
You can use these commands directly in Claude Code's interface (compatibility with other clients has not been tested).
/analyze: Analyzes files or directories using Codex, or asks general questions.
prompt(required): The analysis prompt. Use@syntax to include files (e.g.,/analyze prompt:@src/ summarize this directory) or ask general questions (e.g.,/analyze prompt:Please use a web search to find the latest news stories).
/sandbox: Safely tests code or scripts with Codex approval modes.
prompt(required): Code testing request (e.g.,/sandbox prompt:Create and run a Python script that processes CSV dataor/sandbox prompt:@script.py Test this script safely).
/help: Displays the Codex CLI help information.
/ping: Tests the connection to the server.
message(optional): A message to echo back.
Acknowledgments
This project was inspired by the excellent work from jamubc/gemini-mcp-tool. Special thanks to @jamubc for the original MCP server architecture and implementation patterns.
Contributing
Contributions are welcome! Please submit pull requests or report issues through GitHub.
License
This project is licensed under the MIT License. See the LICENSE file for details.
Disclaimer: This is an unofficial, third-party tool and is not affiliated with, endorsed, or sponsored by OpenAI.
local-only server
The server can only run on the client's local machine because it depends on local resources.
Connects AI assistants like Claude to the Codex CLI for code analysis, editing, and execution. Supports file references with @ syntax, sandboxed code execution with approval workflows, and structured code changes for automated refactoring and documentation.