"OpenAI Gym" matching MCP servers:

OpenAI Sora AI video generation with text-to-video, image-to-video, character reuse across scenes, and async webhook callbacks.

Enables intelligent multi-provider image generation through OpenAI and Google Gemini APIs with automatic provider selection, support for reference images, real-time data grounding, and conversational refinement.

Extracts YouTube video metadata, titles, and descriptions along with transcripts generated from subtitles or OpenAI Whisper speech-to-text. This server enables users to retrieve and analyze detailed video content directly within MCP-compatible environments.

Enables image analysis and understanding using Vision Language Models through OpenAI-compatible APIs. Supports analyzing images from URLs or local files with custom prompts.

Enables text extraction from images and PDF files using the ZhipuAI GLM-OCR API. It allows users to process documents through local file paths or base64-encoded data for high-quality OCR results.

MCP server for generating and editing images using OpenAI, and creating videos using OpenAI Sora and Google Veo. Enables fetching media from URLs or disk with smart output placement.

Enables text-only models to process images and other media formats by providing access to multimodal models from OpenAI and Dashscope (Alibaba Cloud). Supports flexible deployment options and comprehensive tooling for multimodal AI interactions.

Enables downloading videos from platforms like YouTube and converting them to text using OpenAI Whisper and ffmpeg. It supports multiple output formats including TXT, JSON, SRT, and VTT for transcriptions.

Enables text-to-image generation using the fal.ai GPT image-1 API. It provides a tool to generate images with customizable parameters like size, quality, and background settings via natural language prompts.

An MCP server that provides AI image generation capabilities using OpenAI and Replicate APIs with support for customizable prompts and dimensions. It features specialized tools for generating square, landscape, and portrait images through simple natural language commands.

Enables comprehensive image processing, stock image search from Pexels and Pixabay, and AI image generation using OpenAI DALL-E with support for resizing, format conversion, color extraction, and watermarking.

Enables LLM routing through multiple providers (OpenAI, Anthropic, xAI) via LiteLLM and provides a bridge to Blender for 3D scene management, asset integration from PolyHaven/Sketchfab, and automation workflows. Combines unified text generation with comprehensive Blender integration through a persistent TCP connection.

Enables text-only LLMs to analyze, OCR, and compare images by forwarding them to vision-capable models via OpenAI or Anthropic APIs.

Enables translation of SRT subtitle files from English to Japanese using local LLM servers like LM Studio. Parses SRT format files and returns translated subtitles in proper SRT format through OpenAI-compatible APIs.

An MCP server that enables image generation and editing using OpenAI's DALL-E models with support for text prompts, inpainting, and outpainting. It includes advanced features like automatic aspect ratio mapping and intelligent file management to handle large image payloads.

Enables image generation using OpenAI's DALL-E and GPT-Image models directly through the Model Context Protocol. It allows users to create and save images with fine-grained control over parameters like size, quality, and background transparency.

Enables AI image generation through multiple providers including OpenAI GPT-Image-1, Google Imagen 4, Gemini 2.5 Flash (Nano Banana), Flux 1.1, Qwen Image, and SeedDream-4, supporting various formats, sizes, and advanced features like background control and seed-based reproduction.

An MCP tool server that enables generating and editing images through OpenAI's image models, supporting text-to-image generation and advanced image editing (inpainting, outpainting) across various MCP-compatible clients.

An MCP server that leverages Zhipu's free GLM-4.6V-Flash vision model to enable image, video, and file understanding (OCR, table parsing, defect detection, document Q&A, and more) across MCP-compatible clients like Codex and Claude Desktop.

Provides image understanding capabilities for MCP clients (e.g., Claude Code) by analyzing images using vision models from providers like Alibaba Cloud Bailian, OpenAI, or OpenRouter, returning detailed descriptions in Markdown format.