Unified model aggregation
Access 300+ AI models through a single API key, endpoint, and billing account instead of managing provider-specific integrations.
Atlas Cloud is an AI API aggregation platform with one OpenAI-compatible API for 300+ models across chat, image, video, audio, and media workflows.
Atlas Cloud is an AI API aggregation platform that gives developers unified access to 300+ AI models through one API. The site positions it as a single place to use large language models, image generation, video creation, audio, and media processing without switching between provider-specific integrations.
The product is built around an OpenAI-compatible endpoint, a single billing account, and developer tooling such as CLI and MCP support. The documentation and developer pages show workflows for chat completions, image generation, video generation, and agent-based use in tools like Cursor, Claude Desktop, VS Code, and other MCP-compatible clients.
Access 300+ AI models through a single API key, endpoint, and billing account instead of managing provider-specific integrations.
Use an OpenAI-compatible chat completions API for models such as DeepSeek, Qwen, Kimi, and GLM with minimal code changes.
Work across text, image, video, and audio generation with consistent request patterns for different media types.
Connect Atlas Cloud to MCP-compatible clients and use the atlascloud MCP server from tools such as Cursor, Claude Desktop, VS Code, and others.
Run model discovery, chat, image, or video generation from the terminal using the CLI mentioned in the docs.
Use transparent on-demand pricing with pay-as-you-go billing and volume discounts noted on the docs and pricing pages.
Build chat applications with an OpenAI-compatible API and switch among supported LLMs such as DeepSeek, Qwen, Kimi, and GLM without changing your integration pattern.
Generate or edit images from text or reference inputs using the image model catalog exposed on the platform.
Create videos from text, images, or references using supported video models such as Seedance, Kling, Wan, and Vidu.
Wire Atlas Cloud into coding tools or agent stacks through MCP, then let those tools call models directly from plain English or automated tasks.
Use the CLI and docs to prototype model calls, test prompts, and manage API access before shipping production integrations.
Atlas Cloud provides unified access to 300+ AI models through one OpenAI-compatible API endpoint. The documentation describes support for chat, image generation, video generation, audio, and media processing.
The docs show an OpenAI-compatible API, plus MCP server support for tools like Cursor, Claude Desktop, VS Code, Windsurf, Zed, JetBrains, Codex CLI, Gemini CLI, and Goose. It also supports CLI usage and API key-based access.
The platform lists model access for LLMs, image generation, video generation, audio, and related media workflows. Examples include chat completions, text-to-image, image-to-video, and video editing flows.
Pricing is shown as on-demand pay-per-use, with no subscriptions mentioned on the pricing page. The page also notes transparent pricing and volume discounts.
The source material does not provide a full enterprise security or compliance policy set beyond policy links and references to SOC I & II certification and HIPAA compliance on the pricing page.
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