Unified Codex CLI + IDE Extension | MCP Setup Guide & First Look

OpenAI just unified their entire Codex ecosystem with GPT-5! In this setup guide, I'll show you how to set up MCP servers for both Codex CLI and the new IDE extension. This powerful combination lets you seamlessly move between your IDE, command line, and then send it off to the cloud. What you'll learn: Setting up MCP servers in the unified Codex ecosystem Configuring TOML files (different from standard MCP JSON setup) Adding Context7 for instant documentation access Integrating Bright Data Web MCP for unlimited web scraping Using environment variables with MCP servers ⚠️ Important Notes: You can use this with your ChatGPT Plan Codex currently only supports locally hosted MCP servers Configuration uses TOML format, not JSON like other MCP setups Both CLI and IDE extension share the same config file Make sure you have the latest Codex CLI and IDE extension 🔧 Setup Files Location: ~/.codex/config.toml ⌚ TIMESTAMPS: 00:48 - Unified Configuration 01:44 - Setting Up MCP Servers in TOML Format 02:22 - Adding Context7 02:36 - Adding Bright Data Web MCP 03:57 - Configuring Environment Variables 04:29 - Testing MCP Servers in CLI 06:00 - Performance Comparison vs Claude Code 🔗 RELEVANT LINKS: Book a call with me → https://yedatechs.com/#container06 Sponsorship inquiries → hi@yedatechs.com OpenAI Codex → https://github.com/openai/codex Context7 MCP → https://github.com/contextco/context-7-mcp Bright Data Web MCP → https://tinyurl.com/jeredwebmcp #Codex #OpenAI #MCPServers #GPT5 #CodexCLI #AITools #claudecode #WebScraping #Context7 #BrightData #AIProductivity #DeveloperTools #2025Tech #CodingWorkflow #MCPSetup