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Atlas Cloud MCP Server (image / Video / Llm Apis)

@AtlasCloudAI

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基本情報

カテゴリ

メディアとデザイン

トランスポート

stdio

作者

AtlasCloudAI

投稿者

Julia J

Atlas Cloud MCP Server について

MCP server for Atlas Cloud - AI API aggregation platform for image/video generation and LLM

#mcp-ai-llm-image-generation-video-api

Atlas Cloud MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "atlascloud": {
      "command": "node",
      "args": [
        "index.js"
      ],
      "env": {
        "ATLAS_API_KEY": "<YOUR_API_KEY>"
      }
    }
  }
}

Atlas Cloud MCP Server のツール

13

Search Atlas Cloud documentation and models by keyword

List all available models, optionally filtered by type (Text/Image/Video/Audio)

Get detailed model info including API schema, parameters, and usage examples

Generate images and 3D models (image-to-3D / text-to-3D) with any supported Image model

Generate videos with any supported video model

Generate audio / speech (TTS) with any supported audio model

One-step image/video/audio generation — auto-finds model by keyword, builds params, and submits

Upload local files to get a URL for use with image-edit / image-to-video models

Chat with LLM models (OpenAI-compatible format)

Check status and result of image/video/audio/3D generation tasks

Get the account balance and credit summary for your API key

Get daily model usage (requests, tokens, image/video counts) over a date range

Get daily model cost (spend) buckets over a date range

概要

What is Atlas Cloud Mcp Server (image / Video / Llm Apis)?

Atlas Cloud MCP Server lets you access over 300 image, video, LLM, audio, and 3D models from Atlas Cloud directly inside AI coding agents and IDEs that support the Model Context Protocol (MCP). It provides standard MCP tools for generating images and videos, chatting with LLMs, uploading media, checking balances, and searching documentation. It is designed for developers using Claude Code, Cursor, Cline, Gemini CLI, and similar tools.

How to use Atlas Cloud Mcp Server (image / Video / Llm Apis)?

Install by running a one‑line npx command or by adding a JSON configuration to your MCP‑compatible client. You must have Node.js ≥18 and an Atlas Cloud API key, set as the ATLASCLOUD_API_KEY environment variable. For CLI agents such as Claude Code or Gemini CLI, use claude mcp add atlascloud -- npx -y atlascloud-mcp. For IDEs like Cursor or VS Code, add a JSON block to your MCP settings with npx -y atlascloud-mcp as the command and your API key in the env section.

Key features of Atlas Cloud Mcp Server (image / Video / Llm Apis)

  • 300+ models: video, image, 3D, LLM, and audio TTS.
  • Dynamic per‑model parameter schemas validated before every request.
  • One‑step quick‑generate that auto‑finds the right model by keyword.
  • Media upload for local images (temporary, for generation tasks only).
  • Account balance, usage, and cost breakdown tools.
  • Searchable documentation and model catalog.

Use cases of Atlas Cloud Mcp Server (image / Video / Llm Apis)

  • Generate a hero image for a blog post using text‑to‑image models.
  • Turn a product photo into a 5‑second video ad with image‑to‑video.
  • Create a 3D model from a photo with Hunyuan 3D.
  • Convert a script to speech using TTS models.
  • Check credit balance and monthly spending directly from your AI assistant.

よくある質問

1

What runtime dependencies are required?

Node.js ≥18 and an Atlas Cloud API key. The API key is free and obtained from atlascloud.ai.

2

How do uploaded media files work?

Uploaded files are temporary and used only for Atlas Cloud generation tasks. They may be cleaned up periodically and are not permanent hosting. Abuse may result in API key suspension.

3

What MCP transport is used?

The server uses standard stdio transport via `npx -y atlascloud-mcp`. Configuration is added to each client’s MCP settings, either with environment variables or through the client’s specific UI/JSON configuration.

4

Is there an alternative to MCP?

Yes. Atlas Cloud also ships a Skills package for Claude Code and other skill‑compatible agents, as well as a CLI tool, ComfyUI nodes, and n8n nodes.

5

Can I chat with LLMs using this server?

Yes. The `atlas_chat` tool provides OpenAI‑compatible chat with models such as Claude, GPT, DeepSeek, Qwen, and others.

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