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.

Features

• Documentation Search — Search Atlas Cloud docs, models, and API references directly from your IDE
• Model Discovery — List and explore 80+ available AI models with pricing and capabilities
• Image Generation — Generate images using models like Seedream, Qwen-Image, Z-Image, etc.
• Video Generation — Generate videos using models like Kling, Vidu, Seedance, Wan, etc.
• LLM Chat — Chat with LLM models (OpenAI-compatible) including GPT, DeepSeek, Qwen, GLM, etc.
• 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 at atlascloud.ai)

Configure in Cursor / Claude Desktop

Add to your MCP configuration:

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

Configure in Claude Code

claude mcp add atlascloud -- npx -y atlascloud-mcp

Then set the environment variable ATLASCLOUD_API_KEY in your shell.

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_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"

The 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

Chat with an LLM

"Ask DeepSeek V3.2 to explain quantum computing"

The assistant will use atlas_chat with the DeepSeek model.

Development

# Install dependencies
npm install

# Build
npm run build

# Run in development mode
npm run dev

License

MIT