Atlas Cloud MCP Server (Image / Video / LLM APIs)
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.
Atlas Cloud MCP Server
English | 中文 | 日本語 | 한국어 | Español | Français
MCP (Model Context Protocol) server for Atlas Cloud — an AI API aggregation platform providing access to image generation, video generation, and LLM models.
Features
- Model Discovery — List and explore 300+ available AI models with pricing and capabilities
- Image Generation — Generate images using models like Seedream, Qwen-Image, Flux, Imagen, etc.
- Video Generation — Generate videos using models like Kling, Vidu, Seedance, Wan, Hailuo, Veo, etc.
- LLM Chat — Chat with LLM models (OpenAI-compatible) including DeepSeek, Qwen, GLM, MiniMax, etc.
- Media Upload — Upload local images/media for use with image-editing and image-to-video models
- Quick Generate — One-step generation with automatic model search and parameter building
- Documentation Search — Search Atlas Cloud docs, models, and API references directly from your IDE
- Dynamic Schema — Automatically fetches each model's parameter schema for accurate API usage
Quick Start
Prerequisites
- Node.js >= 18
- Atlas Cloud API Key — Get one free at atlascloud.ai
IDEs & Editors (JSON Config)
Add to your MCP configuration file — works with all MCP-compatible IDEs and editors:
{ "mcpServers": { "atlascloud": { "command": "npx", "args": ["-y", "atlascloud-mcp"], "env": { "ATLASCLOUD_API_KEY": "your-api-key-here" } } } }
| Client | Config File Location |
|---|---|
| Cursor | Settings → MCP → Add Server |
| Windsurf | Settings → MCP → Add Server |
| VS Code (Copilot) | .vscode/mcp.json or Settings → MCP |
| Trae | Settings → MCP → Add Server |
| Zed | Settings → MCP |
| JetBrains IDEs | Settings → Tools → AI Assistant → MCP |
| Claude Desktop | claude_desktop_config.json |
| ChatGPT Desktop | Settings → MCP |
| Amazon Q Developer | MCP Configuration |
VS Code Extensions
These VS Code extensions also support MCP with the same JSON config format:
| Extension | Install |
|---|---|
| Cline | MCP Marketplace → Add Server |
| Roo Code | Settings → MCP → Add Server |
| Continue | config.yaml → MCP |
CLI Tools
Claude Code
claude mcp add atlascloud -- npx -y atlascloud-mcp
Gemini CLI
gemini mcp add atlascloud -- npx -y atlascloud-mcp
OpenAI Codex CLI
codex mcp add atlascloud -- npx -y atlascloud-mcp
Goose CLI
goose mcp add atlascloud -- npx -y atlascloud-mcp
For CLI tools, make sure to set the
ATLASCLOUD_API_KEYenvironment variable in your shell.
Skills Version (Claude Code)
If you prefer using Skills instead of MCP, we also offer 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) |
| atlas_get_model_info | Get detailed model info including API schema, parameters, and usage examples |
| atlas_generate_image | Generate images with any supported image model |
| atlas_generate_video | Generate videos with any supported video model |
| atlas_quick_generate | One-step 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 generation tasks |
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:
- Use
atlas_list_modelsto find Seedream image models - Use
atlas_get_model_infoto get the model's parameters - Use
atlas_generate_imagewith the correct parameters
Generate a video
"Create a video of a rocket launch using Kling v3"
- Find the Kling video model
- Get its schema to understand required parameters
- Use
atlas_generate_videowith appropriate parameters
Upload a local image for editing or video generation
"Edit this image /Users/me/photos/cat.jpg to add a hat"
- Use
atlas_upload_mediato upload the local file and get a URL - Find an image-editing model
- Use
atlas_generate_imagewith 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.
Chat with an LLM
"Ask Qwen to explain quantum computing"
The assistant will use atlas_chat with the Qwen model.
Development
Install dependencies
npm install
Build
npm run build
Run in development mode
npm run dev
License
MIT
เซิร์ฟเวอร์ที่เกี่ยวข้อง
Grafana
Access Grafana resources like dashboards, datasources, Prometheus, Loki, and alerts.
Vidu MCP Server
Generate videos from images and manage tasks using the Vidu video generation API.
Kontent.ai
Create, manage, and explore your content and content model using natural language in any MCP-compatible AI tool.
Alpaca
Interact with the Alpaca trading API for stock trading, account management, and market data using LLMs.
Gemini
Provides access to Google Gemini AI capabilities as tools.
CData eBay Analytics
Access eBay Analytics data via the CData JDBC Driver.
Transistor
Manage podcasts, episodes, and view analytics on Transistor.fm.
CORTEX MCP Extensions
Provides direct access to CORTEX infrastructure for orchestration, monitoring, AI flow management, model routing, and Docker administration.
ProbeOps
Network diagnostics from 6 global regions — SSL, DNS, ping, whois, traceroute, port scan, latency. Works without an API key.
Google Play Store
Integrates with Google Play Store command-line tools, enabling AI assistants to manage apps via the Play Console API.