Olares
Olares: An Open-Source Personal Cloud to Reclaim Your Data
What is Olares?
Olares is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to olares: an open-source personal cloud to reclaim your data
Olares: An Open-Source Personal Cloud to Reclaim Your Data
This server falls under the Cloud Services category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Olares: An Open-Source Personal Cloud to Reclaim Your Data
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx olaresConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Olares
Olares is an open-source personal cloud OS built on Kubernetes that lets individuals reclaim ownership of their data by self-hosting a complete suite of applications — file manager, sync drive, password vault, reader, and app marketplace — with enterprise-grade security via Tailscale, Headscale, and Cloudflare Tunnel. It supports local AI model hosting with GPU management, edge AI workloads, and home automation, making it a private alternative to cloud services like Google Drive, iCloud, and Notion. Developers and homelab enthusiasts use Olares to run AI agents and self-hosted services without sending data to third-party cloud providers.
Prerequisites
- Ubuntu 24.04 LTS or later, or Debian 11 or later (tested platforms)
- Sufficient hardware: minimum 4 CPU cores, 8 GB RAM, and 60 GB disk (GPU optional for local AI)
- curl and bash available on the host system
- The LarePass mobile app from olares.com/larepass for authentication and remote access
- An MCP-compatible client such as Claude Desktop for agent integration
Review the system requirements
Olares runs on Ubuntu 24.04+ or Debian 11+. Ensure your machine meets the minimum specs: 4 CPU cores, 8 GB RAM, and at least 60 GB of available disk space.
Install Olares using the CLI
Install Olares using the olares-cli command-line tool. Follow the official Getting Started guide at docs.olares.com for the full step-by-step installation commands appropriate for your system.
# Refer to https://docs.olares.com/manual/get-started/ for the
# current installation command. The olares-cli tool handles
# cluster setup, daemon installation, and initial configuration.Complete initial setup with LarePass
Download the LarePass app from olares.com/larepass on your mobile device. Use it to complete the initial Olares activation, set up single sign-on, and configure remote access.
Install applications from the Olares Market
Access the built-in app market from your Olares dashboard to install self-hosted applications such as Nextcloud, Immich, Jellyfin, or AI model runners (Ollama, LocalAI).
Configure AI and MCP integration
For MCP connectivity, point your MCP client at the Olares local AI endpoint or configure the Olares MCP server integration. The olaresd daemon manages service endpoints.
{
"mcpServers": {
"olares": {
"command": "npx",
"args": ["olares"]
}
}
}Monitor and manage via the dashboard
Access the Olares web dashboard to monitor resource usage, manage installed applications, configure GPU allocation for local AI models, and set up automated backups.
Olares Examples
Client configuration
Basic MCP client configuration for connecting to an Olares personal cloud instance.
{
"mcpServers": {
"olares": {
"command": "npx",
"args": ["olares"]
}
}
}Prompts to try
Use Olares capabilities through your MCP-connected AI client.
- "List the files in my Olares sync drive"
- "What applications are currently installed on my Olares instance?"
- "Check the resource usage and storage status of my personal cloud"
- "Show me the available local AI models running on my Olares GPU node"Troubleshooting Olares
Olares installation fails on Ubuntu with dependency errors
Ensure you are running Ubuntu 24.04 LTS or later, or Debian 11 or later. Run sudo apt update && sudo apt upgrade before installation. Check the official docs at docs.olares.com for version-specific prerequisites.
Cannot access the Olares dashboard after installation
Check that olaresd is running with systemctl status olaresd. If not running, start it with sudo systemctl start olaresd. Verify that no firewall rules are blocking the dashboard port.
Local AI models are not detected or fail to load
GPU support requires CUDA drivers to be installed before running Olares. Verify GPU availability with nvidia-smi. If using CPU-only inference, ensure sufficient RAM is available (8+ GB for small models, 16+ GB recommended).
Frequently Asked Questions about Olares
What is Olares?
Olares is a Model Context Protocol (MCP) server that olares: an open-source personal cloud to reclaim your data It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Olares?
Follow the installation instructions on the Olares GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Olares?
Olares works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Olares free to use?
Yes, Olares is open source and available under the AGPL-3.0 license. You can use it freely in both personal and commercial projects.
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Browse More Cloud Services MCP Servers
Explore all cloud services servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Olares in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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