Developer Builds Stateful Image-Editing Skill for Codex Using Google Gemini API

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A developer has released nb2lite-skill-codex, an open-source project that wraps Google's Gemini Flash Lite image model in a FastMCP server and packages it as a skill for OpenAI's Codex coding agent. The tool leverages Gemini's Interactions API, which maintains visual context server-side across multiple turns, allowing users to iteratively edit an image without re-describing the entire scene each time. The project ships as two components: an MCP server exposing four tools and a Codex skill that instructs the agent when and how to use them. It supports aspect ratio selection at generation time, multiple thinking levels, and text rendering in over 25 languages, with sub-two-second image generation speeds. By using the Model Context Protocol, the integration works with any MCP-compatible client without requiring custom per-client code.

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