Atlas Cloud MCP Server (Image / Video / LLM APIs)

A powerful MCP server for AI image, video, and LLM APIs. Integrate models like Seedance and Nano Banana into your workflow with a simple, unified interface powered by Atlas Cloud.

Atlas Cloud

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

  • 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" } } } }

ClientConfig File Location
CursorSettings → MCP → Add Server
WindsurfSettings → MCP → Add Server
VS Code (Copilot).vscode/mcp.json or Settings → MCP
TraeSettings → MCP → Add Server
ZedSettings → MCP
JetBrains IDEsSettings → Tools → AI Assistant → MCP
Claude Desktopclaude_desktop_config.json
ChatGPT DesktopSettings → MCP
Amazon Q DeveloperMCP Configuration

VS Code Extensions

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

ExtensionInstall
ClineMCP Marketplace → Add Server
Roo CodeSettings → MCP → Add Server
Continueconfig.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

ToolDescription
atlas_search_docsSearch Atlas Cloud documentation and models by keyword
atlas_list_modelsList all available models, optionally filtered by type (Text/Image/Video)
atlas_get_model_infoGet detailed model info including API schema, parameters, and usage examples
atlas_generate_imageGenerate images with any supported image model
atlas_generate_videoGenerate videos with any supported video model
atlas_quick_generateOne-step generation — auto-finds model by keyword, builds params, and submits
atlas_upload_mediaUpload local files to get a URL for use with image-edit / image-to-video models
atlas_chatChat with LLM models (OpenAI-compatible format)
atlas_get_predictionCheck 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"

  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"

  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

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