"A server for finding information about Codex" matching MCP servers:

Exposes a tool for understanding images via Codex app-server, enabling analysis of screenshots, OCR, and visual comparisons.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

Enables Codex to submit, poll, and retrieve bounded text handoffs for durable image-generation and image-inspection jobs while keeping provider-returned media bytes outside the MCP boundary.

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 persisted image generation and inspection jobs through bounded MCP tools, returning only compact text handoffs, hashes, relative references, and Job IDs while keeping provider-returned media outside public results.

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.

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.

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.

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

Enables Codex to delegate code reviews, coding tasks, image/video generation, and background investigations to Grok via MCP tools.

Exposes Codex's built-in image generation to any MCP-capable agent, returning file paths, pixel dimensions, and the prompts used, with support for image-to-image editing via reference images. Ships scenario presets (Xiaohongshu, video cover, poster, book/album cover and more) plus built-in prompt assembly and catalog listing tools so agents can generate or preview prompts without spending credits.

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

A local-first toolkit that rebuilds reference images as editable Microsoft Visio shapes via two MCP servers for image QA and Visio COM rendering.