npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

atlascloud-mcp

v1.4.0

Published

MCP server for AI image / video / 3D / audio (TTS) generation & LLM chat. Use Sora 2, Veo 3, Kling 3, Seedance 2, Flux 2, Nano Banana Pro, Hunyuan 3D, Seed Audio in Claude Code, Cursor, Codex, Gemini CLI.

Readme


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 more300+ models »

Contents

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

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

License

MIT