ChatGPT and Codex: Unified Plugin Ecosystem with MCP and Connectors

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OpenAI outlines the universal plugin architecture for ChatGPT and Codex, enabling reusable workflows with skills, MCP servers, connectors, and lifecycle hooks across web, desktop, mobile, and Codex CLI surfaces.

Key points

  1. Plugins share a single directory across ChatGPT (web, desktop, mobile) and Codex (desktop app, Codex CLI), whereas the IDE extension does not support them.
  2. Plugins can package skills, connectors (such as GitHub, Slack, or Google Drive), MCP servers, browser extensions, lifecycle hooks, and scheduled task templates.
  3. 'Sign in with ChatGPT' is rolling out in beta for partners including Airtable, GitLab, Supabase, and Vercel, sharing profile details while requiring separate permission approvals.
  4. Codex CLI introduces an interactive plugin browser via the /plugins command to inspect, install, and manage extensions from configured marketplaces.
  5. An Apple Messages plugin for macOS (Apple Silicon arm64) allows Codex and ChatGPT Work to read, draft, and send messages with per-send approval safeguards.

Why it matters

Aligning ChatGPT and Codex under a unified plugin catalogue powered by the Model Context Protocol streamlines third-party tool integration and agentic workflow orchestration across interfaces.

Analysis

The architecture positions Model Context Protocol (MCP) servers as the primary driver for data retrieval and tool actions. OpenAI emphasizes tiered security: 'Sign in with ChatGPT' decouples identity linking from data authorisation, while high-impact capabilities—such as sending system messages or executing lifecycle hooks—are bound by host sandboxes and explicit confirmation steps.

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Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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