
Codex Bridge
Connects Claude with OpenAI's Codex through the official CLI, enabling direct code consultation and batch processing without API costs.
Bridges Claude with OpenAI's Codex through the official CLI, enabling direct consultation, stdin-piped execution for CI/CD workflows, and batch processing for automated code analysis and reviews.
What it does
- Query Codex with structured output formats
- Pipe content through stdin for CI/CD workflows
- Process multiple Codex queries in batch mode
- Execute automated code analysis and reviews
Best for
About Codex Bridge
Codex Bridge is a community-built MCP server published by elyin that provides AI assistants with tools and capabilities via the Model Context Protocol. Codex Bridge connects Claude with OpenAI Codex via CLI for automated code analysis, reviews, and CI/CD integrations. It is categorized under ai ml, developer tools. This server exposes 3 tools that AI clients can invoke during conversations and coding sessions.
How to install
You can install Codex Bridge in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
Codex Bridge is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Tools (3)
Consult Codex in non-interactive mode with structured output. Processes prompt and returns formatted response. Supports text, JSON, and code extraction formats. Args: query: The prompt to send to Codex directory: Working directory (required) format: Output format - "text", "json", or "code" (default: "json") timeout: Optional timeout in seconds (overrides env var, recommended: 60-120) Returns: Formatted response based on format parameter
Consult Codex with stdin content piped to prompt - pipeline-friendly execution. Similar to 'echo "content" | codex exec "prompt"' - combines stdin with prompt. Perfect for CI/CD workflows where you pipe file contents to the AI. Args: stdin_content: Content to pipe as stdin (e.g., file contents, diff, logs) prompt: The prompt to process the stdin content directory: Working directory (required) format: Output format - "text", "json", or "code" (default: "json") timeout: Optional timeout in seconds (overrides env var, recommended: 60-120) Returns: Formatted response based on format parameter
Consult multiple Codex queries in batch - perfect for CI/CD automation. Processes multiple prompts and returns consolidated JSON output. Each query can have individual timeout and format preferences. Args: queries: List of query dictionaries with keys: 'query' (required), 'timeout' (optional) directory: Working directory (required) format: Output format - currently only "json" supported for batch Returns: JSON array with all results
Codex Bridge
A lightweight MCP (Model Context Protocol) server that enables AI coding assistants to interact with OpenAI's Codex AI through the official CLI. Works with Claude Code, Cursor, VS Code, and other MCP-compatible clients. Designed for simplicity, reliability, and seamless integration.
✨ Features
- Direct Codex CLI Integration: Zero API costs using official Codex CLI
- Simple MCP Tools: Two core functions for basic queries and file analysis
- Stateless Operation: No sessions, caching, or complex state management
- Production Ready: Robust error handling with configurable timeouts (default: 90 seconds)
- Minimal Dependencies: Only requires
mcp>=1.0.0and Codex CLI - Easy Deployment: Support for both uvx and traditional pip installation
- Universal MCP Compatibility: Works with any MCP-compatible AI coding assistant
🚀 Quick Start
Prerequisites
-
Install Codex CLI:
npm install -g @openai/codex-cli -
Authenticate with Codex:
codex -
Verify installation:
codex --version
Installation
🎯 Recommended: PyPI Installation
# Install from PyPI
pip install codex-bridge
# Add to Claude Code with uvx (recommended)
claude mcp add codex-bridge -s user -- uvx codex-bridge
Alternative: From Source
# Clone the repository
git clone https://github.com/shelakh/codex-bridge.git
cd codex-bridge
# Build and install locally
uvx --from build pyproject-build
pip install dist/*.whl
# Add to Claude Code
claude mcp add codex-bridge -s user -- uvx codex-bridge
Development Installation
# Clone and install in development mode
git clone https://github.com/shelakh/codex-bridge.git
cd codex-bridge
pip install -e .
# Add to Claude Code (development)
claude mcp add codex-bridge-dev -s user -- python -m src
🌐 Multi-Client Support
Codex Bridge works with any MCP-compatible AI coding assistant - the same server supports multiple clients through different configuration methods.
Supported MCP Clients
- Claude Code ✅ (Default)
- Cursor ✅
- VS Code ✅
- Windsurf ✅
- Cline ✅
- Void ✅
- Cherry Studio ✅
- Augment ✅
- Roo Code ✅
- Zencoder ✅
- Any MCP-compatible client ✅
Configuration Examples
Claude Code (Default)
# Recommended installation
claude mcp add codex-bridge -s user -- uvx codex-bridge
# Development installation
claude mcp add codex-bridge-dev -s user -- python -m src
Cursor
Global Configuration (~/.cursor/mcp.json):
{
"mcpServers": {
"codex-bridge": {
"command": "uvx",
"args": ["codex-bridge"],
"env": {}
}
}
}
Project-Specific (.cursor/mcp.json in your project):
{
"mcpServers": {
"codex-bridge": {
"command": "uvx",
"args": ["codex-bridge"],
"env": {}
}
}
}
Go to: Settings → Cursor Settings → MCP → Add new global MCP server
VS Code
Configuration (.vscode/mcp.json in your workspace):
{
"servers": {
"codex-bridge": {
"type": "stdio",
"command": "uvx",
"args": ["codex-bridge"]
}
}
}
Alternative: Through Extensions
- Open Extensions view (Ctrl+Shift+X)
- Search for MCP extensions
- Add custom server with command:
uvx codex-bridge
Windsurf
Add to your Windsurf MCP configuration:
{
"mcpServers": {
"codex-bridge": {
"command": "uvx",
"args": ["codex-bridge"],
"env": {}
}
}
}
Cline (VS Code Extension)
- Open Cline and click MCP Servers in the top navigation
- Select Installed tab → Advanced MCP Settings
- Add to
cline_mcp_settings.json:
{
"mcpServers": {
"codex-bridge": {
"command": "uvx",
"args": ["codex-bridge"],
"env": {}
}
}
}
Void
Go to: Settings → MCP → Add MCP Server
{
"mcpServers": {
"codex-bridge": {
"command": "uvx",
"args": ["codex-bridge"],
"env": {}
}
}
}
Cherry Studio
- Navigate to Settings → MCP Servers → Add Server
- Fill in the server details:
- Name:
codex-bridge - Type:
STDIO - Command:
uvx - Arguments:
["codex-bridge"]
- Name:
- Save the configuration
Augment
Using the UI:
- Click hamburger menu → Settings → Tools
- Click + Add MCP button
- Enter command:
uvx codex-bridge - Name: Codex Bridge
Manual Configuration:
"augment.advanced": {
"mcpServers": [
{
"name": "codex-bridge",
"command": "uvx",
"args": ["codex-bridge"],
"env": {}
}
]
}
Roo Code
- Go to Settings → MCP Servers → Edit Global Config
- Add to
mcp_settings.json:
{
"mcpServers": {
"codex-bridge": {
"command": "uvx",
"args": ["codex-bridge"],
"env": {}
}
}
}
Zencoder
- Go to Zencoder menu (...) → Tools → Add Custom MCP
- Add configuration:
{
"command": "uvx",
"args": ["codex-bridge"],
"env": {}
}
- Hit the Install button
Alternative Installation Methods
For pip-based installations:
{
"command": "codex-bridge",
"args": [],
"env": {}
}
For development/local testing:
{
"command": "python",
"args": ["-m", "src"],
"env": {},
"cwd": "/path/to/codex-bridge"
}
For npm-style installation (if needed):
{
"command": "npx",
"args": ["codex-bridge"],
"env": {}
}
Universal Usage
Once configured with any client, use the same two tools:
- Ask general questions: "What authentication patterns are used in this codebase?"
- Analyze specific files: "Review these auth files for security issues"
The server implementation is identical - only the client configuration differs!
⚙️ Configuration
Timeout Configuration
By default, Codex Bridge uses a 90-second timeout for all CLI operations. For longer queries (large files, complex analysis), you can configure a custom timeout using the CODEX_TIMEOUT environment variable.
Git Repository Check
By default, Codex CLI requires being inside a Git repository or trusted directory. If you need to use Codex Bridge in directories that aren't Git repositories, you can set the CODEX_SKIP_GIT_CHECK environment variable.
⚠️ Security Warning: Only enable this flag in trusted environments where you control the directory structure.
Example configurations:
Claude Code
# Add with custom timeout (120 seconds)
claude mcp add codex-bridge -s user --env CODEX_TIMEOUT=120 -- uvx codex-bridge
# Add with git repository check disabled (for non-git directories)
claude mcp add codex-bridge -s user --env CODEX_SKIP_GIT_CHECK=true -- uvx codex-bridge
# Add with both configurations
claude mcp add codex-bridge -s user --env CODEX_TIMEOUT=120 --env CODEX_SKIP_GIT_CHECK=true -- uvx codex-bridge
Manual Configuration (mcp_settings.json)
{
"mcpServers": {
"codex-bridge": {
"command": "uvx",
"args": ["codex-bridge"],
"env": {
"CODEX_TIMEOUT": "120",
"CODEX_SKIP_GIT_CHECK": "true"
}
}
}
}
Configuration Options:
CODEX_TIMEOUT:
- Default: 90 seconds (if not configured)
- Range: Any positive integer (seconds)
- Recommended: 60-120 seconds for most queries, 120-300 for large file analysis
- Invalid values: Fall back to 90 seconds with warning
CODEX_SKIP_GIT_CHECK:
- Default: false (Git repository check enabled)
- Valid values: "true", "1", "yes" (case-insensitive) to disable the check
- Use case: Working in directories that are not Git repositories
- Security: Only use in trusted directories you control
🛠️ Available Tools
consult_codex
Direct CLI bridge for simple queries with structured JSON output by default.
Parameters:
query(string): The question or prompt to send to Codexdirectory(string): Working directory for the query (default: current directory)format(string): Output format - "text", "json", or "code" (default: "json")timeout(int, optional): Timeout in seconds (recommended: 60-120, default: 90)
Example:
consult_codex(
query="Find authentication patterns in this codebase",
directory="/path/to/project",
format="json", # Default format
timeout=90 # Default timeout
)
consult_codex_with_stdin
CLI bridge with stdin content for pipeline-friendly execution.
Parameters:
stdin_content(string): Content to pipe as stdin (file contents, diffs, logs)prompt(string): The prompt to process the stdin contentdirectory(string): Working directory for the queryformat(string): Output format - "text", "json"
README truncated. View full README on GitHub.
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