A
AtlasCloudAI/mcp-server
Image, video and LLM APIs through Atlas Cloud
View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Install & config
Client config (built from the install command this repo gives)
{
"mcpServers": {
"atlascloudai-mcp-server": {
"command": "npx",
"args": ["-y", "atlascloud-mcp"]
}
}
}Parsed from the README we fetched on 2026-11-04; we have not executed it.
command/args come from the install command the repository states. When it is ambiguous, the project README wins.
VS Code (.vscode/mcp.json - the key is servers)
{
"servers": {
"atlascloudai-mcp-server": {
"command": "npx",
"args": ["-y", "atlascloud-mcp"]
}
}
}Same server, but VS Code keeps it under <code>servers</code>.
Claude Code (command line)
claude mcp add --transport stdio atlascloudai-mcp-server -- npx -y atlascloud-mcp
Claude Code does not read a config file; add the server with this command.
Key names differ by client: Clients & CLI
- Source
- collected from the abordage/awesome-mcp list · type: MCP server
- Harvest history
- first seen 2026-11-05 · last seen 2026-11-14 · seen 10× · listed by 10 sources
- Score
- score 1,003 · 10 sources · mcp
- Install
npx -y atlascloud-mcp
FAQ (answers come from our records)
How do I install it?
The repository provides this install command:
npx -y atlascloud-mcp. It comes from the repository itself; we cannot guarantee it runs as-is in your client.Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-11-05；last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.
Atlas Cloud MCP Server
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
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 (218) — Seedance 2.5 · MiniMax H3 Max · MiniMax H3 Fast · Gemini Omni 1.1 Flash · MiniMax H3 · Wan-3.0-Prime
🎨 Image (138) — GPT Image 2.5 Sunburst · GPT Image 2.5 Flare · Seedream v4.7 · MAI-Image-2.6-Flash
🧊 3D (14) — Seed3D 2.0 · Tripo H3.1 · Hunyuan 3D Rapid · Hunyuan 3D Pro
💬 LLM (83) — DeepSeek V4.1 Flash 1017 · Kimi K3.1 Pro HighSpeed · Kimi K3.1 Pro · Gemini 4 Argon
🔊 Audio (TTS · Music · ASR) (19) — Seed Audio 1.0 · MiniMax Speech 2.6 Turbo · MiniMax Speech 2.6 HD · xAI TTS v1
📚 Explore more — all 504 live models »
> 🎬 Newest video models — Seedance 2.5 · Kling 4.0 · Wan 3.0 · Kling Video O3.
## 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 Seedance 2.5, Kling 3, Kling Video O3, Veo 3.1…
🧊 "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
🎵 "Write a theme song for my app" — music generation with Suno, MiniMax Music
📝 "Transcribe this meeting recording" — speech-to-text with Seed ASR, xAI STT
🎞️ "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
💬 "What is in this screenshot?" — LLM chat with Claude, GPT, DeepSeek, Qwen, Gemini, GLM…, including image/video input on models that accept it
🕓 "What did I generate yesterday?" — browse generation history and pull back the output URLs
Under the hood: model discovery, dynamic per-model parameter schemas (validated before every request so invalid params fail fast without spending credits, plus a dryrun flag on every generation tool that shows the exact request body without submitting it), media upload, one-step quick-generate, generation history, account balance & usage, and documentation search — all exposed as standard MCP tools (see Available Tools).
LLM calls are protocol-aware: each model is called through the contract it actually declares — OpenAI chat completions, OpenAI Responses, Anthropic Messages, or native Gemini generateContent — so Gemini-native models work without any special handling on your side.
## Quick Start
### Hosted server — no API key, nothing to install
Point your client at our hosted MCP server and sign in once in the browser. Nothing to install, no key to create or paste, and generation is billed to the Atlas Cloud account you sign in with.
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 (218) — Seedance 2.5 · MiniMax H3 Max · MiniMax H3 Fast · Gemini Omni 1.1 Flash · MiniMax H3 · Wan-3.0-Prime
🎨 Image (138) — GPT Image 2.5 Sunburst · GPT Image 2.5 Flare · Seedream v4.7 · MAI-Image-2.6-Flash
🧊 3D (14) — Seed3D 2.0 · Tripo H3.1 · Hunyuan 3D Rapid · Hunyuan 3D Pro
💬 LLM (83) — DeepSeek V4.1 Flash 1017 · Kimi K3.1 Pro HighSpeed · Kimi K3.1 Pro · Gemini 4 Argon
🔊 Audio (TTS · Music · ASR) (19) — Seed Audio 1.0 · MiniMax Speech 2.6 Turbo · MiniMax Speech 2.6 HD · xAI TTS v1
📚 Explore more — all 504 live models »
> 🎬 Newest video models — Seedance 2.5 · Kling 4.0 · Wan 3.0 · Kling Video O3.
## 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 Seedance 2.5, Kling 3, Kling Video O3, Veo 3.1…
🧊 "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
🎵 "Write a theme song for my app" — music generation with Suno, MiniMax Music
📝 "Transcribe this meeting recording" — speech-to-text with Seed ASR, xAI STT
🎞️ "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
💬 "What is in this screenshot?" — LLM chat with Claude, GPT, DeepSeek, Qwen, Gemini, GLM…, including image/video input on models that accept it
🕓 "What did I generate yesterday?" — browse generation history and pull back the output URLs
Under the hood: model discovery, dynamic per-model parameter schemas (validated before every request so invalid params fail fast without spending credits, plus a dryrun flag on every generation tool that shows the exact request body without submitting it), media upload, one-step quick-generate, generation history, account balance & usage, and documentation search — all exposed as standard MCP tools (see Available Tools).
LLM calls are protocol-aware: each model is called through the contract it actually declares — OpenAI chat completions, OpenAI Responses, Anthropic Messages, or native Gemini generateContent — so Gemini-native models work without any special handling on your side.
## Quick Start
### Hosted server — no API key, nothing to install
Point your client at our hosted MCP server and sign in once in the browser. Nothing to install, no key to create or paste, and generation is billed to the Atlas Cloud account you sign in with.
Listed badge (optional)
Copy this line into the README if you want the listing mark. Optional, and it does not affect being listed.
[](https://anclum.com/en/s/atlascloudai-mcp-server/)
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- awesome · https://github.com/AtlasCloudAI/mcp-server
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