No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by tuannvm · MCP Server · ★ 636
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is codex-mcp-server safe to install? View the security audit →
Codex MCP Server Bridge between Claude and OpenAI's Codex CLI — get AI-powered code analysis, generation, and review right in your editor. Quick Start Install Codex CLI Add to Claude Code Start Using One-Click Install [ server
24 cross-platform agent skills for Claude Code, Cursor, Codex & Gemini CLI — databases, messaging, research, T
MCP server for free Google AI Mode search with citations. Query optimization, CAPTCHA handling, multi-agent su
A super light-weight embedded code search engine CLI (AST based) that just works - improves speed and efficie
Professional context and harness engineering for Claude Code and OpenAI Codex. Build production-grade software
Explore other popular mcp server tools:
codex-mcp-server is MCP server wrapper for OpenAI Codex CLI that enables Claude Code to leverage Codex's AI capabilities directly.. It is categorized as a MCP Server with 636 GitHub stars.
codex-mcp-server is primarily written in TypeScript. It covers topics such as claude-code, codex, cursor.
You can find installation instructions and usage details in the codex-mcp-server GitHub repository at github.com/tuannvm/codex-mcp-server. The project has 636 stars and 79 forks, indicating an active community.
The top alternatives to codex-mcp-server on Agent Skills Hub include memorix, Overture, ai-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: