AtlasAI-CLI
⚡💻 Your intelligent, easy-to-use terminal
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From the repo.
AtlasAI-CLI 🤖
AtlasAI-CLI is an AI-powered command line tool that analyzes projects and recommends optimal deployment configurations. It works as an independent complement for AtlasServer-Core or as a standalone tool.

Why a separate package?
AtlasAI-CLI was born as part of AtlasServer-Core v0.2.5, but is now distributed as an independent package to:
- Reduce dependencies: AtlasServer-Core stays lighter
- Better performance: Faster installation when AI functions aren't needed
- Flexibility: Usable with or without AtlasServer-Core
- Maintainability: Cleaner and more modular codebase
- Customization: Freedom to choose between local Ollama or cloud-based OpenAI
Main features
🔍 Intelligent Project Analysis
- Framework detection: Automatically identifies Flask, FastAPI, Django and others
- Interactive exploration: Analyzes the structure and key files of the project
- Contextual recommendations: Suggests specific commands, ports and environment variables
🌐 Multiple AI providers
- Ollama: Local models for privacy and offline operation
- OpenAI: Cloud models for advanced analysis
🌍 Multilingual support
- Explanations in English or Spanish according to preference
💻 Rich terminal interface
- Enhanced visualization with Rich
- Real-time responses through streaming
- Panels, tables and Markdown format for better readability
Installation
As a standalone tool:
pip install atlasai-cli
With AtlasServer-Core:
pip install atlasserver atlasai-cli
Requirements:
- Python 3.8 or higher
- Ollama (to use local models)
Usage
Configuration:
# Setup with Ollama (local)
atlasai ai setup --provider ollama --model llama3:8b
# Setup with OpenAI (cloud)
atlasai ai setup --provider openai --model gpt-4.1 --api-key YOUR_API_KEY
Project analysis:
# Basic analysis
atlasai ai suggest ~/path/to/my-project
# With language preference
atlasai ai suggest ~/path/to/my-project --language es
# With debug mode
atlasai ai suggest ~/path/to/my-project --debug
Integration with AtlasServer-Core:
If you have AtlasServer-Core installed, you can use the same commands with the atlasserver prefix:
atlasserver ai setup --provider ollama --model llama3:8b
atlasserver ai suggest ~/path/to/my-project
Demo
AtlasAI-CLI in Action

Compatibility
AtlasAI-CLI works best with:
- Post-Llama 3 models for Ollama
- GPT-4o or higher for OpenAI
Contributions
Contributions are welcome! If you find bugs or have ideas for improvements, please open an issue or submit a pull request.
License
AtlasAI-CLI is distributed under the Apache 2.0 license.
⚡💻 Your intelligent, easy-to-use terminal
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Collected info
- ★ 1 stars
- Language: Python
- Source updated: 2/26/2026
Config for your environment
Replace {MCP_ENDPOINT_URL} with this MCP’s endpoint URL (from its repo or docs above). No API key — you connect directly.
Tool
OS
Config file: ~/.cursor/mcp.json
{
"mcpServers": {
"mcp-server": {
"url": "{MCP_ENDPOINT_URL}"
}
}
}Paste into mcpServers in the config file. Restart Cursor after saving.
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