Lightweight MCP server bridging Claude Code to OpenAI Codex via official CLI
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# 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>=1.0.0` and 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 1. **Install Codex CLI**: ```bash npm install -g @openai/codex-cli ``` 2. **Authenticate with Codex**: ```bash codex ``` 3. **Verify installation**: ```bash codex --version ``` ### Installation **🎯 Recommended: PyPI Installation** ```bash # 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** ```bash # 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…
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