by AtlasCloudAI
MCP server for Atlas Cloud - AI API aggregation platform for image/video generation and LLM
# Add to your Claude Code skills
git clone https://github.com/AtlasCloudAI/mcp-serverAdd 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 | | | or Settings → MCP | | | Settings → MCP → Add Server | | | Settings → MCP | | | Settings → Tools → AI Assistant → MCP | | | | | | Settings → MCP | | | MCP Configuration |
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.vscode/mcp.jsonclaude_desktop_config.jsonThese 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 |
# 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.
If you prefer using Skills instead of MCP, we also offer an Atlas Cloud Skills package for Claude Code and other skill-compatible agents.
| 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 |
"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 of a cat in space using Seedream"
The assistant will:
atlas_list_models to find Seedream image modelsatlas_get_model_info to get the model's parametersatlas_generate_image with the correct parameters"Create a video of a rocket launch using Kling v3"
The assistant will:
atlas_generate_video with appropriate parameters"Edit this image /Users/me/photos/cat.jpg to add a hat"
The assistant will:
atlas_upload_media to upload the local file and get a URLatlas_generate_image with the uploaded URLNote: 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.
"Ask Qwen to explain quantum computing"
The assistant will use atlas_chat with the Qwen model.
# Install dependencies
npm install
# Build
npm run build
# Run in development mode
npm run dev
MIT