by tuannvm
MCP server wrapper for OpenAI Codex CLI that enables Claude Code to leverage Codex's AI capabilities directly.
Repository-wide counts · Cached 2026-10-04
The Codex MCP Server MCP server is a publicly available community project. Review the upstream repository for installation instructions, supported tools, compatibility, permissions, and current maintenance status.
Configuration, transport, authentication, and runtime requirements vary by project. Open the repository before connecting and use the smallest set of credentials and permissions required.
Open the Codex MCP Server repository to read the latest documentation.
Compare source, connection, and authentication details before choosing an implementation.
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mrexodia
AI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.
tadata-org
Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!
Build-time snapshot · Retrieved 2026-10-05
Bridge between Claude and OpenAI's Codex CLI — get AI-powered code analysis, generation, and review right in your editor.
graph LR
A[Claude Code] --> B[Codex MCP Server]
B --> C[Codex CLI]
C --> D[OpenAI API]
style A fill:#FF6B35
style B fill:#4A90E2
style C fill:#00D4AA
style D fill:#FFA500
npm i -g @openai/codex
codex login --api-key "your-openai-api-key"
claude mcp add codex-cli -- npx -y codex-mcp-server
Ask codex to explain this function
Use codex to refactor this code for better performance
Use review to check my uncommitted changes
| Tool | Description |
|---|---|
codex |
AI coding assistant with session support, model selection, and structured output metadata |
review |
AI-powered code review for uncommitted changes, branches, or commits |
websearch |
Web search using Codex CLI with customizable result count and search depth |
listSessions |
View active conversation sessions |
ping |
Test server connection |
help |
Get Codex CLI help |
Code analysis:
Use codex to analyze this authentication logic for security issues
Multi-turn conversations:
Use codex with sessionId "refactor" to analyze this module
Use codex with sessionId "refactor" to implement your suggestions
Passing a sessionId creates the session on first use, so listSessions will show it (for this server instance) and subsequent calls can resume context.
Code review:
Use review with base "main" to check my PR changes
Use review with uncommitted true to review my local changes
Advanced options:
Use codex with model "o3" and reasoningEffort "high" for complex analysis
Use codex with fullAuto true and sandbox "workspace-write" for automated tasks
Use codex with callbackUri "http://localhost:1234/callback" for static callbacks
Use codex to return structuredContent with threadId metadata when available
Web search:
Use websearch with query "TypeScript 5.8 new features"
Use websearch with query "Rust vs Go performance 2025" and numResults 15
Use websearch with query "React Server Components" and searchDepth "full"
npm i -g @openai/codex or brew install codexcodex login --api-key "your-key" to authenticatethreadId, this server returns it in content metadata and structuredContent, and advertises an outputSchema for structured responses.CODEX_MCP_CALLBACK_URI: Static MCP callback URI passed to Codex when set (overridden by callbackUri tool arg)npm install # Install dependencies
npm run dev # Development mode
npm run build # Build for production
npm test # Run tests
ISC