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AtlasCloudAI

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

by AtlasCloudAI

Supported Models

  • 🎬 Video β€” Seedance 2.0 Β· Kling 3 Β· Sora 2 Β· Veo 3.1 Β· HappyHorse 1 Β· Grok Imagine 1.5 Β· Wan 2.7

  • 🎨 Image β€” Nano Banana 2/Pro Β· GPT Image 2 Β· Flux 2 Β· Seedream 5

  • πŸ’¬ LLM β€” Claude Β· GPT Β· DeepSeek Β· MiniMax Β· Kimi Β· GLM Β· Qwen

  • πŸ”Š Audio β€” Grok TTS

  • πŸ“š Explore more β€” 300+ models Β»

Related MCP server: MCP-Saptiva

Contents

What You Can Do

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

  • 🎨 "Make a hero image for this blog post" β€” text-to-image across Nano Banana Pro, GPT Image 2, Flux 2, Seedream, Imagen…

  • 🎬 "Turn this product photo into a 5-second ad" β€” image-to-video with Kling 3, Seedance 2, Veo 3.1, Sora 2…

  • 🎞️ "Storyboard this script into 6 shots" β€” chain LLM β†’ image β†’ video inside one conversation

  • ✏️ "Edit this image β€” add a hat" β€” upload a local file, then run an image-editing model

  • πŸ’Έ "Which video model is cheapest for a 10s clip?" β€” discover models with live pricing & capabilities

  • πŸ’¬ "Summarize this PDF with DeepSeek" β€” 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 β€” all exposed as standard MCP tools (see Available Tools).

Quick Start

Prerequisites

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

CLI agents (one-line install)

The fastest path β€” 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 β€” works with every MCP-compatible client:

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

Client

Where to add it

Cursor

Settings β†’ MCP β†’ Add Server

Cline

MCP Marketplace β†’ Add Server

Continue

config.yaml β†’ MCP

Windsurf

Settings β†’ MCP β†’ Add Server

VS Code (Copilot)

.vscode/mcp.json or Settings β†’ MCP

Trae

Settings β†’ MCP β†’ Add Server

JetBrains IDEs

Settings β†’ Tools β†’ AI Assistant β†’ MCP

ChatGPT Desktop

Settings β†’ MCP

Amazon Q Developer

MCP Configuration

Roo Code

Settings β†’ MCP β†’ 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

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 β€” 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 β€” 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

License

MIT

Install Server
A
license - permissive license
A
quality
C
maintenance

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

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