Codex Bridge▌
by elyin
Codex Bridge connects Claude with OpenAI Codex via CLI for automated code analysis, reviews, and CI/CD integrations.
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.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Developers wanting free Codex access through CLI
- / CI/CD pipelines requiring automated code review
- / Batch code analysis workflows
capabilities
- / 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
what it does
Connects Claude with OpenAI's Codex through the official CLI, enabling direct code consultation and batch processing without API costs.
about
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
MIT
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.
readme
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
<details> <summary><strong>Claude Code</strong> (Default)</summary># 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
</details>
<details>
<summary><strong>Cursor</strong></summary>
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
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
Add to your Windsurf MCP configuration:
{
"mcpServers": {
"codex-bridge": {
"command": "uvx",
"args": ["codex-bridge"],
"env": {}
}
}
}
</details>
<details>
<summary><strong>Cline</strong> (VS Code Extension)</summary>
- 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": {}
}
}
}
</details>
<details>
<summary><strong>Void</strong></summary>
Go to: Settings → MCP → Add MCP Server
{
"mcpServers": {
"codex-bridge": {
"command": "uvx",
"args": ["codex-bridge"],
"env": {}
}
}
}
</details>
<details>
<summary><strong>Cherry Studio</strong></summary>
- 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
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": {}
}
]
}
</details>
<details>
<summary><strong>Roo Code</strong></summary>
- Go to Settings → MCP Servers → Edit Global Config
- Add to
mcp_settings.json:
{
"mcpServers": {
"codex-bridge": {
"command": "uvx",
"args": ["codex-bridge"],
"env": {}
}
}
}
</details>
<details>
<summary><strong>Zencoder</strong></summary>
- Go to Zencoder menu (...) → Tools → Add Custom MCP
- Add configuration:
{
"command": "uvx",
"args": ["codex-bridge"],
"env": {}
}
- Hit the Install button
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": {}
}
</details>
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:
<details> <summary><strong>Claude Code</strong></summary># 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
</details>
<details>
<summary><strong>Manual Configuration (mcp_settings.json)</strong></summary>
{
"mcpServers": {
"codex-bridge": {
"command": "uvx",
"args": ["codex-bridge"],
"env": {
"CODEX_TIMEOUT": "120",
"CODEX_SKIP_GIT_CHECK": "true"
}
}
}
}
</details>
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"
FAQ
- What is the Codex Bridge MCP server?
- Codex Bridge is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Codex Bridge?
- This profile displays 40 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.4 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.4★★★★★40 reviews- ★★★★★Yash Thakker· Dec 16, 2024
I recommend Codex Bridge for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Neel Nasser· Dec 12, 2024
Strong directory entry: Codex Bridge surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Luis Smith· Dec 8, 2024
Codex Bridge is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Mei Torres· Dec 4, 2024
We evaluated Codex Bridge against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Liam Dixit· Nov 27, 2024
Codex Bridge reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Harper Patel· Nov 11, 2024
Codex Bridge has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Dhruvi Jain· Nov 7, 2024
Strong directory entry: Codex Bridge surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Anaya Robinson· Nov 3, 2024
I recommend Codex Bridge for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· Oct 26, 2024
Codex Bridge is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Anaya Mensah· Oct 22, 2024
Codex Bridge reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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