"Browser automation and control for Codex CLI" matching MCP servers:

Enables Codex to orchestrate Adobe Photoshop via MCP to reconstruct AI-generated artwork into editable, validated layered PSDs, with automated saving, reopening, and verification.

Windows desktop automation MCP server enabling screenshot capture, precise visual locating of UI elements via vision models, and automated mouse clicking.

Enables decoration of images and videos with backgrounds, gradients, containers, text, arrows, and more through MCP tools like render_decor and list_templates. Supports both CLI and MCP server modes with configurable options.

Enables the automatic generation of complete Live2D models from a single photo by automating segmentation, rigging, and physics configuration. It provides a full pipeline for creating layered art meshes and motion files through a suite of specialized animation tools.

Generates and edits images through the Codex CLI using an existing ChatGPT subscription, with queued jobs, progress reporting, and artifact URLs for MCP clients.

Enables AI agents to access real-time touchless gesture recognition, 3D hand landmarks, virtual key event injection, facial telemetry, sensitivity adjustment, and system health diagnostics through the Model Context Protocol.

A Windows-first local MCP server that lets Codex inspect and control Krita through a small, authenticated bridge.

Enables generating images directly from Claude Code using the ChatGPT subscription's built-in Codex CLI and gpt-image-2, with no API key or separate credits.

Enables context-bounded image generation and inspection through durable local jobs, returning only bounded text handoffs, hashes, relative references, and Job IDs while keeping provider media bytes off the public MCP boundary.

Enables Codex to run image generation and inspection as durable, restart-reconcilable local jobs that keep provider-returned media behind the tool boundary and hand back only bounded text, hashes, relative references, and Job IDs. It also supports idempotent submission, job history, and an offline deterministic mock provider for validating transport and persistence behavior without spending API credits.

Enables any MCP client to generate and edit images through ChatGPT's Codex backend, saving them locally with no API key or per-image billing.

Generates quality control plans and inspection reports from technical-drawing PDFs: tolerances, fits, threads, GD&T and surface finishes are extracted automatically by Imnoo's drawing analysis, numbered as balloons with acceptance limits and measuring instruments, and exported as a ballooned drawing PDF, an inspection package and an Excel measurement report.

Enables Codex to connect to an OpenAI-compatible Images API for listing models, generating or editing images, saving results to local workspace files, and checking job status.

Enables generating consistent four-view concept references, textured Meshy 3D models, and Adaptive Low remeshes through an MCP server and resumable command-line workflow.

Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.

A local MCP server that adds computer-vision tools to coding agents and models that do not support native image input, using Codex OAuth credentials and the ChatGPT/Codex Responses backend.

Extracts text from images and browser screenshots locally using Tesseract.js, without sending image data to the LLM.

Drives Google Flow from an agent or the terminal: Veo text-to-video, image-to-video and clip extension, plus Imagen image generation. Runs locally against your own Google account with Flow access; video generation bills that account's credits.

Enables AI-driven 3D modeling and scene creation in Blender, allowing LLMs to create, modify, and manipulate objects, materials, and assets through natural language.

Enables MCP clients to generate and edit images through Codex's built-in image generation using a ChatGPT login, returning final files with metadata and optional inline previews.