Atlas Cloud MCP Server

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MCP (Model Context Protocol) server for Atlas Cloud — an AI API aggregation platform providing access to image generation, video generation, and LLM models.

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Features

• Model Discovery — List and explore 300+ available AI models with pricing and capabilities
• Image Generation — Generate images using models like Seedream, Qwen-Image, Flux, Imagen, etc.
• Video Generation — Generate videos using models like Kling, Vidu, Seedance, Wan, Hailuo, Veo, etc.
• LLM Chat — Chat with LLM models (OpenAI-compatible) including DeepSeek, Qwen, GLM, MiniMax, etc.
• Media Upload — Upload local images/media for use with image-editing and image-to-video models
• Quick Generate — One-step generation with automatic model search and parameter building
• Documentation Search — Search Atlas Cloud docs, models, and API references directly from your IDE
• Dynamic Schema — Automatically fetches each model's parameter schema for accurate API usage

Quick Start

Prerequisites

• Node.js >= 18
• Atlas Cloud API Key — Get one free at atlascloud.ai

IDEs & Editors (JSON Config)

Add to your MCP configuration file — works with all MCP-compatible IDEs and editors:

{
  "mcpServers": {
    "atlascloud": {
      "command": "npx",
      "args": ["-y", "atlascloud-mcp"],
      "env": {
        "ATLASCLOUD_API_KEY": "your-api-key-here"
      }
    }
  }
}

Client	Config File Location
Cursor	Settings → MCP → Add Server
Windsurf	Settings → MCP → Add Server
VS Code (Copilot)	.vscode/mcp.json or Settings → MCP
Trae	Settings → MCP → Add Server
Zed	Settings → MCP
JetBrains IDEs	Settings → Tools → AI Assistant → MCP
Claude Desktop	claude_desktop_config.json
ChatGPT Desktop	Settings → MCP
Amazon Q Developer	MCP Configuration

VS Code Extensions

These VS Code extensions also support MCP with the same JSON config format:

Extension	Install
Cline	MCP Marketplace → Add Server
Roo Code	Settings → MCP → Add Server
Continue	config.yaml → MCP

CLI Tools

# Claude Code
claude mcp add atlascloud -- npx -y atlascloud-mcp

# Gemini CLI
gemini mcp add atlascloud -- npx -y atlascloud-mcp

# OpenAI Codex CLI
codex mcp add atlascloud -- npx -y atlascloud-mcp

# Goose CLI
goose mcp add atlascloud -- npx -y atlascloud-mcp

For CLI tools, make sure to set the ATLASCLOUD_API_KEY environment variable in your shell.

Skills Version (Claude Code)

If you prefer using Skills instead of MCP, we also offer an Atlas Cloud Skills package for Claude Code and other skill-compatible agents.

Available Tools

Tool	Description
atlas_search_docs	Search Atlas Cloud documentation and models by keyword
atlas_list_models	List all available models, optionally filtered by type (Text/Image/Video)
atlas_get_model_info	Get detailed model info including API schema, parameters, and usage examples
atlas_generate_image	Generate images with any supported image model
atlas_generate_video	Generate videos with any supported video model
atlas_quick_generate	One-step generation — auto-finds model by keyword, builds params, and submits
atlas_upload_media	Upload local files to get a URL for use with image-edit / image-to-video models
atlas_chat	Chat with LLM models (OpenAI-compatible format)
atlas_get_prediction	Check status and result of image/video generation tasks

Usage Examples

Search for models

"Search Atlas Cloud for video generation models"

Your AI assistant will use atlas_search_docs or atlas_list_models to find relevant models.

Generate an image

"Generate an image of a cat in space using Seedream"

The assistant will:

1. Use atlas_list_models to find Seedream image models
2. Use atlas_get_model_info to get the model's parameters
3. Use atlas_generate_image with the correct parameters

Generate a video

"Create a video of a rocket launch using Kling v3"

The assistant will:

1. Find the Kling video model
2. Get its schema to understand required parameters
3. Use atlas_generate_video with appropriate parameters

Upload a local image for editing or video generation

"Edit this image /Users/me/photos/cat.jpg to add a hat"

The assistant will:

1. Use atlas_upload_media to upload the local file and get a URL
2. Find an image-editing model
3. Use atlas_generate_image with the uploaded URL

Note: Uploaded files are for temporary use with Atlas Cloud generation tasks only. Files may be cleaned up periodically. Do not use this as permanent file hosting — abuse may result in API key suspension.

Chat with an LLM

"Ask Qwen to explain quantum computing"

The assistant will use atlas_chat with the Qwen model.

Development

# Install dependencies
npm install

# Build
npm run build

# Run in development mode
npm run dev

License

MIT