Get the FREE Ultimate OpenClaw Setup Guide →

Olares

Olares: An Open-Source Personal Cloud to Reclaim Your Data

Installation
Run this command in your terminal to add the MCP server to Claude Code.
Run in terminal:
Command
claude mcp add --transport stdio beclab-olares docker run -i beclab/olares:latest \
  --env OLARES_ENV="Describe Olares runtime environment or placeholder (e.g., production)." \
  --env OLARES_CONFIG="Optional path or environment-based config for Olares (if applicable)."

How to use

Olares is an open-source personal cloud operating system that lets you own and manage your data locally while providing a unified interface for apps, storage, and tools. With this MCP server, you can deploy and run Olares in a self-hosted environment via containerized execution, enabling quick experiments and scalable installations without modifying your host system. The platform emphasizes secure, private hosting, integration with local AI tooling, and a range of built-in applications to manage files, vaults, markets, and dashboards. Use the MCP server to start, monitor, and manage the Olares instance in a reproducible way, leveraging containerization for isolation and portability. Consult the Olares docs for details on architecture, components, and supported plugins, and use the included CLI and daemon tooling to interface with the running instance.

How to install

Prerequisites:

  • Docker is installed and running on your machine.
  • Basic knowledge of container workflows and environment variables.

Installation steps:

  1. Ensure Docker is up to date and you can run docker commands.
  2. Pull and run the Olares MCP server image via the provided command in mcp_config (or run through your MCP manager that supports docker-backed servers).
  3. If you need to customize, set environment variables via your orchestrator or docker run configuration (see mcp_config env keys).
  4. Verify the server is running by checking logs or visiting the Olares admin UI/documentation endpoints as described in the project docs.

Optional:

  • If you prefer building from source, follow the project’s developer setup guide in the docs and adapt the runtime to your environment, then containerize the build for MCP compatibility.

Additional notes

Tips and notes:

  • If you encounter port conflicts, bind the container to unused host ports or use a reverse proxy as described in the Olares docs.
  • Ensure you meet hardware requirements for hosting local AI tooling and storage workloads.
  • Use the env variables in mcp_config to tailor runtime behavior and feature flags for your deployment.
  • Regularly check for updates to the Olares image and pull the latest to stay current with security fixes and enhancements.
  • For troubleshooting, consult the MCP server logs and the Olares community channels for guidance on common container-related issues.

Related MCP Servers

Sponsor this space

Reach thousands of developers