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.

Documentation

Atlas Cloud

Atlas Cloud MCP Server

npm version npm downloads license github stars PRs Welcome

English | 中文 | 日本語 | 한국어 | Español | Français

Use Atlas Cloud's 300+ image / video / LLM models in Claude Code, Codex, Gemini CLI, Cursor, Cline and more. Generate images, videos & chat via standard MCP tools.

→ Get your free Atlas Cloud API key · 300+ models · OpenAI-compatible


Supported Models

  • 🎬 Video — Seedance 2.0 · Kling 3 · Sora 2 · Veo 3.1 · HappyHorse 1 · Grok Imagine 1.5 · Wan 2.7
  • 🎨 Image — Nano Banana 2/Pro · GPT Image 2 · Flux 2 · Seedream 5
  • 💬 LLM — Claude · GPT · DeepSeek · MiniMax · Kimi · GLM · Qwen
  • 🔊 Audio — Grok TTS
  • 📚 Explore more — 300+ models »

Contents

  • What You Can Do
  • Quick Start
  • Available Tools
  • Usage Examples
  • Development
  • More Atlas Cloud Tools
  • License

What You Can Do

Ask your AI assistant in plain language — it discovers the right model, builds the parameters, and submits the job:

  • 🎨 "Make a hero image for this blog post" — text-to-image across Nano Banana Pro, GPT Image 2, Flux 2, Seedream, Imagen…
  • 🎬 "Turn this product photo into a 5-second ad" — image-to-video with Kling 3, Seedance 2, Veo 3.1, Sora 2…
  • 🎞️ "Storyboard this script into 6 shots" — chain LLM → image → video inside one conversation
  • ✏️ "Edit this image — add a hat" — upload a local file, then run an image-editing model
  • 💸 "Which video model is cheapest for a 10s clip?" — discover models with live pricing & capabilities
  • 💬 "Summarize this PDF with DeepSeek" — OpenAI-compatible LLM chat with Claude, GPT, DeepSeek, Qwen, GLM…

Under the hood: model discovery, dynamic per-model parameter schemas, media upload, one-step quick-generate, and documentation search — all exposed as standard MCP tools (see Available Tools).

Quick Start

Prerequisites

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

See .env.example for the environment variable to set.

CLI agents (one-line install)

The fastest path — these AI coding agents add the server with a single command:

Claude Code

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

OpenAI Codex CLI

codex mcp add atlascloud -- npx -y atlascloud-mcp

Gemini CLI

gemini mcp add atlascloud -- npx -y atlascloud-mcp

Goose CLI

goose mcp add atlascloud -- npx -y atlascloud-mcp

Set the ATLASCLOUD_API_KEY environment variable in your shell first.

IDEs, editors & extensions (JSON config)

Add this to your client's MCP configuration — works with every MCP-compatible client:

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

ClientWhere to add it
CursorSettings → MCP → Add Server
ClineMCP Marketplace → Add Server
Continueconfig.yaml → MCP
WindsurfSettings → MCP → Add Server
VS Code (Copilot).vscode/mcp.json or Settings → MCP
TraeSettings → MCP → Add Server
JetBrains IDEsSettings → Tools → AI Assistant → MCP
ChatGPT DesktopSettings → MCP
Amazon Q DeveloperMCP Configuration
Roo CodeSettings → MCP → Add Server

Prefer Skills?

If you'd rather use Skills than MCP, we also ship 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

More Atlas Cloud Tools

  • 🧰 Want to use it from the terminal? → atlascloud-cli
  • 🤖 Want to use it in Claude Code / Cursor? → Atlas Cloud MCP Server
  • 🎬 Want it as a Claude Code / Codex / Gemini CLI Skill? → atlas-cloud-skills
  • 🎨 ComfyUI nodes → atlascloud_comfyui
  • 🔁 n8n nodes → n8n-nodes-atlascloud
  • 💬 Join our Discord → discord.gg/MWmMr4q9es
  • 🌐 Website → atlascloud.ai

License

MIT