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codex-bridge MCP Server

eLyiN/codex-bridge

Score: 74.6 → 0.7% Rank #3182 MCP Server
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A lightweight MCP server bridging AI agents to OpenAI models via official CLI

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Overview

eLyiN/codex-bridge is a Python MCP server licensed under MIT. A lightweight MCP server bridging AI agents to OpenAI models via official CLI

Ranked #3182 out of 24846 indexed tools.

Ecosystem

Python MIT 18 pypi/wk

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 119

119 stars → growing community

Freshness 25% 25d ago

Last commit 25d ago → recently updated

Issue Health 25% 100%

2/2 issues closed → responsive maintainer

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads 13% 18/wk

18 weekly installs → early adoption

Forks 7
Description Good
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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AgentRank score for eLyiN/codex-bridge
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Matched Queries

"mcp server""mcp-server"

From the 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>=2,<3` 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. **Au
Read full README on GitHub →

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