A
AtlasCloudAI/mcp-server
Image, video and LLM APIs through Atlas Cloud
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
安装与配置
客户端配置（取自该仓库的安装命令）
{
"mcpServers": {
"atlascloudai-mcp-server": {
"command": "npx",
"args": ["-y", "atlascloud-mcp"]
}
}
}解析自我们于 2026-11-04 抓取的该仓库 README；我们未执行过。
command/args 来自仓库写明的安装命令；不确定时请以该项目 README 为准。
VS Code（.vscode/mcp.json —— 键名是 servers）
{
"servers": {
"atlascloudai-mcp-server": {
"command": "npx",
"args": ["-y", "atlascloud-mcp"]
}
}
}VS Code 顶层键是 <code>servers</code>，其余与上面那份相同。
Claude Code（命令行）
claude mcp add --transport stdio atlascloudai-mcp-server -- npx -y atlascloud-mcp
Claude Code 不收 JSON 文件，用这条命令直接加。
配置项的键名以你的客户端为准：客户端与 CLI
- 来源明细
- 收录自 abordage/awesome-mcp 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
- 收录与活跃
- 收录于 2026-11-05 · 最近见到 2026-11-14 · 共见到 10 次 · 被 10 个来源列出
- 评分构成
- 综合分 1,003 · 10 个来源 · mcp
- 安装
npx -y atlascloud-mcp
常见问题（答案都来自我们的记录）
怎么安装？
该仓库给出的安装命令是
npx -y atlascloud-mcp。我们的记录里它是仓库自己提供的；不保证在你的客户端上直接可用。它适合谁 / 用来做什么？
我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
我们收录于 2026-11-05；最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
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.
收录徽章（可选）
想把收录标记放进 README 就复制这行，可选，不影响收录。
[](https://anclum.com/zh/s/atlascloudai-mcp-server/)
- 来源
- awesome · https://github.com/AtlasCloudAI/mcp-server
- 按领域浏览
- MCP 服务
- 收录来源
- 10 个独立来源
- 收录于
- 今天
同类推荐
所属领域与标签
每个标签都能点进去看同类的全部条目。数字是当前库里的真实条数。