


Cloudback now ships an official MCP server. Connect Claude Code, Claude Desktop, Cursor, VS Code, or any MCP client and manage your backup definitions, schedules, storages, and retention policies through plain-language chat - across GitHub, GitLab, Azure DevOps, and Linear. One prompt can reschedule and re-retain 300 backup definitions at once - no dashboard clicks, no throwaway scripts. Runs as a Docker image (myrtlelabs/cloudback-mcp).
Cloudback MCP Server is an official Model Context Protocol (MCP) server from Cloudback that lets you manage your entire backup infrastructure through natural language. Instead of clicking through dashboards or writing throwaway scripts, you can connect this server to Claude Code, Claude Desktop, Cursor, VS Code, or any MCP-compatible client and control backup definitions, schedules, storages, and retention policies with plain-language prompts. It runs as a Docker image (myrtlelabs/cloudback-mcp) and works across GitHub, GitLab, Azure DevOps, and Linear.
Send a single prompt like "reschedule all GitHub backups to run at 2 AM UTC and set retention to 30 days" and the MCP server handles the rest. No need to navigate complex UIs or remember API endpoints.
The server works with Cloudback's full platform lineup β GitHub, GitLab, Azure DevOps, and Linear. You can manage backup definitions across all these services from one MCP client session.
One prompt can reschedule and re-retain 300 backup definitions simultaneously. This is a massive time-saver compared to updating each definition individually through a web interface.
The server runs as a lightweight Docker container (myrtlelabs/cloudback-mcp), making it easy to deploy in any environment that supports Docker β from local development machines to production Kubernetes clusters.
"One prompt can reschedule and re-retain 300 backup definitions at once β no dashboard clicks, no throwaway scripts."
This is the core differentiator. While other backup tools offer APIs or Terraform providers, Cloudback MCP Server brings backup management into the conversational AI era. You don't need to write infrastructure-as-code templates or learn yet another API β just describe what you want in plain English and the server executes it. For teams managing dozens or hundreds of repositories, this eliminates the friction of bulk configuration changes entirely.
You manage backups across multiple Git platforms and want to reduce the time spent on routine configuration tasks. The server is especially valuable if your team already uses Claude, Cursor, or VS Code with MCP support, as it slots directly into your existing workflow. If you've ever dreaded updating retention policies across 50+ repositories, this is the tool that turns that hour-long chore into a 10-second conversation.
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