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

by AtlasCloudAI

4 stars

328 downloads

Not rated

GitHub Website

About

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.

Details

Author: AtlasCloudAI
GitHub stars: 4
Downloads: 328
Categories: Cloud Service, Other, AI, Infrastructure, Media

- 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.

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Atlas Cloud Mcp Server (image / Video / Llm Apis)

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "atlas cloud mcp server (image / video / llm apis)": {
            "atlascloud": {
                "command": "node",
                "args": [
                    "index.js"
                ],
                "env": {
                    "ATLAS_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "atlas cloud mcp server (image / video / llm apis)": {
            "atlascloud": {
                "command": "node",
                "args": [
                    "index.js"
                ],
                "env": {
                    "ATLAS_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "atlas cloud mcp server (image / video / llm apis)": {
            "atlascloud": {
                "command": "node",
                "args": [
                    "index.js"
                ],
                "env": {
                    "ATLAS_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "atlas cloud mcp server (image / video / llm apis)": {
            "atlascloud": {
                "command": "node",
                "args": [
                    "index.js"
                ],
                "env": {
                    "ATLAS_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "atlas cloud mcp server (image / video / llm apis)": {
            "atlascloud": {
                "command": "node",
                "args": [
                    "index.js"
                ],
                "env": {
                    "ATLAS_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "atlas cloud mcp server (image / video / llm apis)": {
            "atlascloud": {
                "command": "node",
                "args": [
                    "index.js"
                ],
                "env": {
                    "ATLAS_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "atlas cloud mcp server (image / video / llm apis)": {
            "atlascloud": {
                "command": "node",
                "args": [
                    "index.js"
                ],
                "env": {
                    "ATLAS_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "atlas cloud mcp server (image / video / llm apis)": {
            "atlascloud": {
                "command": "node",
                "args": [
                    "index.js"
                ],
                "env": {
                    "ATLAS_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "atlas cloud mcp server (image / video / llm apis)": {
            "atlascloud": {
                "command": "node",
                "args": [
                    "index.js"
                ],
                "env": {
                    "ATLAS_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "atlas cloud mcp server (image / video / llm apis)": {
            "atlascloud": {
                "command": "node",
                "args": [
                    "index.js"
                ],
                "env": {
                    "ATLAS_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "atlas cloud mcp server (image / video / llm apis)": {
            "atlascloud": {
                "command": "node",
                "args": [
                    "index.js"
                ],
                "env": {
                    "ATLAS_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "atlas cloud mcp server (image / video / llm apis)": {
            "atlascloud": {
                "command": "node",
                "args": [
                    "index.js"
                ],
                "env": {
                    "ATLAS_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "atlas cloud mcp server (image / video / llm apis)": {
            "atlascloud": {
                "command": "node",
                "args": [
                    "index.js"
                ],
                "env": {
                    "ATLAS_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "atlas cloud mcp server (image / video / llm apis)": {
            "atlascloud": {
                "command": "node",
                "args": [
                    "index.js"
                ],
                "env": {
                    "ATLAS_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "atlas cloud mcp server (image / video / llm apis)": {
            "atlascloud": {
                "command": "node",
                "args": [
                    "index.js"
                ],
                "env": {
                    "ATLAS_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

From the repository

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.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "atlas cloud mcp server (image / video / llm apis)": {
            "atlascloud": {
                "command": "node",
                "args": [
                    "index.js"
                ],
                "env": {
                    "ATLAS_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

McpServers

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

<h1 align="center">Atlas Cloud MCP Server</h1>

<a href="https://www.npmjs.com/package/atlascloud-mcp"> npm version </a>
<a href="https://www.npmjs.com/package/atlascloud-mcp"> npm downloads </a>
<a href="https://github.com/AtlasCloudAI/mcp-server"> license </a>
<a href="https://github.com/AtlasCloudAI/mcp-server"> github stars </a>
<a href="https://github.com/AtlasCloudAI/mcp-server/pulls"></a>

Use <a href="https://www.atlascloud.ai?utm_source=github&utm_campaign=mcp-server">Atlas Cloud</a>'s 300+ image / video / LLM models in Claude Code, Codex, Gemini CLI, Cursor, Cline and more. Generate images, videos & chat via standard MCP tools.

<a href="https://www.atlascloud.ai/console/api-keys?utm_source=github&utm_campaign=mcp-server">→ Get your free Atlas Cloud API key</a> · 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
- 🧊 3D — Hunyuan 3D image-to-3D / text-to-3D
- 💬 LLM — Claude · GPT · DeepSeek · MiniMax · Kimi · GLM · Qwen
- 🔊 Audio (TTS) — Seed Audio · xAI/Grok TTS · ElevenLabs

- 📚 Explore more — 300+ models »

- 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…
- 🧊 "Make a 3D model from this photo" — image-to-3D / text-to-3D with Hunyuan 3D (GLB/OBJ/USDZ output)
- 🔊 "Read this script aloud" — text-to-speech with Seed Audio, ElevenLabs, xAI TTS
- 🎞️ "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
- 💸 "How much credit is left, and what did I spend this month?" — check balance, usage, and cost breakdowns
- 💬 "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 (validated before every request so invalid params fail fast without spending credits), media upload, one-step quick-generate, account balance & usage, 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"
      }
    }
  }
}

| Client | Where to add it |
|--------|-----------------|
| Cursor | Settings → MCP → Add Server |
| Cline | MCP Marketplace → Add Server |
| Continue | config.yaml → MCP |
| Windsurf | Settings → MCP → Add Server |
| VS Code (Copilot) | .vscode/mcp.json or Settings → MCP |
| Trae | Settings → MCP → Add Server |
| JetBrains IDEs | Settings → Tools → AI Assistant → MCP |
| ChatGPT Desktop | Settings → MCP |
| Amazon Q Developer | MCP Configuration |
| Roo Code | Settings → 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

| 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/Audio) |
| atlas_get_model_info | Get detailed model info including API schema, parameters, and usage examples |
| atlas_generate_image | Generate images and 3D models (image-to-3D / text-to-3D) with any supported Image model |
| atlas_generate_video | Generate videos with any supported video model |
| atlas_generate_audio | Generate audio / speech (TTS) with any supported audio model |
| atlas_quick_generate | One-step image/video/audio generation — 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/audio/3D generation tasks |
| atlas_get_balance | Get the account balance and credit summary for your API key |
| atlas_get_model_usage | Get daily model usage (requests, tokens, image/video counts) over a date range |
| atlas_get_model_costs | Get daily model cost (spend) buckets over a date range |

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 — abuse may result in API key suspension.

Generate speech (TTS)

> "Read this sentence aloud with Seed Audio: Welcome to Atlas Cloud"

The assistant will:
1. Use atlas_list_models with type="Audio" to find the TTS model
2. Use atlas_generate_audio with the text to synthesize
3. Use atlas_get_prediction to retrieve the generated audio URL

Generate a 3D model

> "Turn this product photo into a 3D model with Hunyuan 3D"

3D models are Image-type models, so the assistant uses atlas_generate_image with the image parameter and retrieves a GLB/OBJ/USDZ file via atlas_get_prediction.

Chat with an LLM

> "Ask Qwen to explain quantum computing"

The assistant will use atlas_chat with the Qwen model.

Check balance and usage

> "How much Atlas Cloud credit do I have left, and what did I spend this month?"

The assistant will use atlas_get_balance for the current balance and atlas_get_model_costs for the spend breakdown.

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

No reviews yet — be the first

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

Supported Models

Contents

What You Can Do

Quick Start

Prerequisites

CLI agents (one-line install)

OpenAI Codex CLI

Gemini CLI

Goose CLI

IDEs, editors & extensions (JSON config)

Prefer Skills?

Available Tools

Usage Examples

Search for models

Generate an image

Generate a video

Upload a local image for editing or video generation

Generate speech (TTS)

Generate a 3D model

Chat with an LLM

Check balance and usage

Development

Build

Run in development mode

More Atlas Cloud Tools

License

Install

More like this

Sequential Thinking

Aws Kb Retrieval Server

Filesystem

EverArt

Google Drive

Context 7