This handles integration with Atlas Cloud's unified API for 300+ AI models covering image generation (Flux, DALL-E, Seedream), video generation (Kling, Sora), and LLMs in OpenAI-compatible format. The MCP implementation gives you nine tools that cover the full workflow: search models by keyword, get detailed schema and pricing info, submit generation tasks, poll for results, and upload local files to get public URLs for image-to-video work. The quick_generate tool is smart enough to search by fuzzy keywords like "nano banana" and auto-configure parameters, so you don't need to memorize exact model IDs. Good for prototyping multi-modal AI features without writing separate integrations for each provider.

skills.sh installs
772
GitHub stars
45
last updated
Aug 21, 2026

Install

$ npx -y skills add atlascloudai/atlas-cloud-skills --skill atlas-cloud --agent claude-code

Installs into .claude/skills of the current project.

Files

Atlas Cloud API Integration Guide

Atlas Cloud is an AI API aggregation platform that provides access to 300+ image, video, audio (TTS · music · speech-to-text), 3D, and LLM models through a unified interface. This skill helps you quickly integrate Atlas Cloud API into any project.

Quick Start

1. Get an API Key

Create an API Key at Atlas Cloud Console.

2. Set Environment Variable

export ATLASCLOUD_API_KEY="your-api-key-here"

API Architecture

Atlas Cloud has the following API endpoints:

EndpointBase URLPurpose
Media Generation APIhttps://api.atlascloud.ai/api/v1Image generation, video generation, poll results, upload media
LLM APIhttps://api.atlascloud.ai/v1Chat completions (OpenAI-compatible)

All requests require the following headers:

Authorization: Bearer $ATLASCLOUD_API_KEY
Content-Type: application/json

Full Endpoint List

Sponsors

Details

Repository
github.com/atlascloudai/atlas-cloud-skills
Categories
Backend & APIs, Code Review & Quality, AI & Agent Building, Marketing & SEO, Cloud & Infrastructure, Generative Media
First seen
Jun 3, 2026
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