codex-buddy-for-claude
Enables Claude Code to leverage OpenAI models for expert code review, deep architecture analysis, and security audits, with automatic markdown report generation.
README
codex-buddy-for-claude
MCP server that gives Claude Code access to OpenAI models for:
- Code Review (
codex_review) — expert code review with severity ratings and actionable fixes - Deep Thinking (
codex_thinkdeep) — architecture decisions, trade-off analysis, debugging hypotheses - Security Audit (
codex_secaudit) — OWASP-aligned security audit with threat-level-aware analysis
Reports are automatically saved as markdown files to <project>/codex-reports/.
Requirements
- Python 3.10+
- Either an OpenAI API key (pay-per-token) or a ChatGPT Plus/Pro subscription (flat monthly fee)
Install
# Clone the repo
git clone https://github.com/leo919cc/codex-buddy-for-claude.git
cd codex-buddy-for-claude
# Create venv and install dependencies
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
Add to Claude Code
Add the server to your Claude Code MCP config (~/.claude.json):
{
"mcpServers": {
"codexreview": {
"command": "/absolute/path/to/codex-buddy-for-claude/.venv/bin/python",
"args": ["/absolute/path/to/codex-buddy-for-claude/server.py"]
}
}
}
Replace /absolute/path/to/ with the actual path where you cloned the repo.
Then restart Claude Code. You should see the three tools available:
mcp__codexreview__codex_reviewmcp__codexreview__codex_thinkdeepmcp__codexreview__codex_secaudit
Authentication
The server supports two auth methods. It prefers OAuth (free with subscription) and falls back to API key (pay-per-token).
Option A: ChatGPT subscription (recommended)
Use your ChatGPT Plus ($20/mo) or Pro ($200/mo) subscription — no per-token API costs.
# Install Codex CLI and login (one-time)
npm install -g @openai/codex
codex login
This saves OAuth tokens to ~/.codex/auth.json. The MCP server auto-detects them on startup. The report footer will show (subscription) to confirm.
Option B: API key (pay-per-token)
Create a .env file in the repo directory:
echo "OPENAI_API_KEY=sk-your-key-here" > .env
Or export it in your shell:
export OPENAI_API_KEY=sk-your-key-here
The report footer will show (API) when using this method.
Both configured?
If both OAuth and API key are available, OAuth is used by default (free). The API key serves as fallback if OAuth tokens expire or fail.
Configuration
| Env Variable | Default | Description |
|---|---|---|
OPENAI_API_KEY |
(optional if using OAuth) | Your OpenAI API key |
CODEX_MODEL |
gpt-5.4 |
Default model for all tools |
You can also override the model per-call by passing the model parameter to any tool.
Supported models
Any OpenAI model works. High-reasoning models (codex/5.x series) automatically use the Responses API:
gpt-5.4(default) — high reasoninggpt-5.4-pro— xhigh reasoning (premium pricing)gpt-5.3-codex,gpt-5.2-codex,gpt-5.1-codex, etc.gpt-4o,gpt-4-turbo, etc. — use standard chat completions API
Usage
Once configured, Claude Code will automatically have access to the tools. You can ask Claude to:
- "Review this file" → triggers
codex_review - "Think deeply about whether we should use X or Y" → triggers
codex_thinkdeep - "Run a security audit on this file" → triggers
codex_secaudit
Parameters
All tools accept:
model— override the default modelproject_dir— where to save reports (auto-detected from file paths if not set)
codex_review
files(required) — list of absolute file pathscontext— what the code does, focus areas
codex_thinkdeep
problem(required) — the question or decision to analyzecontext— constraints, what you've consideredfiles— relevant code files for grounding
codex_secaudit
files(required) — list of absolute file pathscontext— deployment context, threat modelthreat_level—low|medium|high|critical
License
MIT
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