arr-mcp logo
arr-mcp
★ 82
vs
cua logo
cua
★ 30.7k

arr-mcp vs cua

arr-mcp: arr-mcp centralizes the management of popular media services like Radarr, Sonarr, and Jellyfin into a single server and endpoint, enabling cross-service diagnostics and unified control. It allows users to ask complex questions across their entire media stack and receive correlated answers, simplifying tasks from content requests to file management.; cua: Cua is an open-source platform designed for building, benchmarking, and deploying AI agents capable of interacting with any computer. It provides isolated, self-hostable sandboxes using technologies like Docker, QEMU, and Apple Vz for agentic UI automation and secure code execution.

01

TL;DR

arr-mcp logo
arr-mcpLLM Infra · ★ 82

Diagnose why requested media isn't appearing in your library, spanning multiple services like Seerr, Radarr, and Jellyfin.

cua logo
cuaLLM Infra · ★ 30.7k
When to choose:
  • You are building Computer-Use agents and need robust, self-hostable isolated desktop/VM sandboxes (Docker, QEMU, Apple Vz).
  • You need native app operating drivers, standardized benchmarking harnesses, and secure isolation for autonomous agent task execution.
When to skip:
  • You only need simple UI macros on your personal physical machine (Windows-MCP or local desktop helpers are easier).
  • Your agents interact solely via text APIs, shell commands, or databases and have no need for a virtual graphical desktop.
02

Side-by-Side Comparison

Field
arr-mcp logoarr-mcp
cua logocua
Category
LLM Infra
LLM Infra
Stars
★ 82
★ 30.7k
License
MIT
MIT
Install Command
docker run -d --name arr-mcp -p 6060:6060 -v ./config:/config -e PUID=1000 -e PGID=1000 -e TZ=Europe/Amsterdam --restart unless-stopped ghcr.io/bardesss/arr-mcp:latest
curl -fsSL https://cua.ai/install.sh | sh
Updated
2d ago
1d ago
Open Source
Yes
Yes
Tags
Media Stack Management, Home Server Automation, API Integration
AI Agents, Virtualization, UI Automation
03

Features

arr-mcp logoarr-mcp
01Cross-service diagnostics for media content workflow, identifying the root cause of issues.
02Secure handling of public indexer release names, preventing malicious input in model context.
03Opt-in, previewed, and audited write operations with explicit confirmation before execution.
04Browser-based configuration UI with live diagnostics, error reporting, and audit trails.
05Unified vocabulary and interaction across twenty-four integrated tools for consistent management.
cua logocua
01Build AI agents for desktop UI automation and interaction.
02Provide isolated code execution environments (sandboxes).
03Benchmark computer-use models with standardized tasks.
04Train agents using reinforcement learning environments.
05Manage high-performance macOS/Linux VMs on Apple Silicon.
04

Use Cases

arr-mcp logoarr-mcp
↳Diagnose why requested media isn't appearing in your library, spanning multiple services like Seerr, Radarr, and Jellyfin.
↳Monitor current downloads and identify stuck items across various download clients like SABnzbd or qBittorrent.
↳Discover un-watched content that aired recently or find new media based on specific criteria like ratings and year.
↳Perform advanced management actions, such as un-monitoring specific seasons or deleting associated files, with prior preview.
↳Identify failing indexers and understand the reasons for their failures to optimize media acquisition.
cua logocua
↳Developing and deploying AI agents for autonomous desktop interaction and task completion.
↳Creating secure, isolated code execution environments for AI coding assistants and development workflows.
↳Benchmarking and training computer-use agents using standardized tasks and reinforcement learning.
05

Best For

arr-mcp logoarr-mcp
—
cua logocua
Most PopularEssentialTrending
FAQ

FAQ

What is the difference between arr-mcp and cua?
Both arr-mcp and cua are in the LLM Infra category. arr-mcp has 82 stars, while cua has 30.7k stars.
Which is better, arr-mcp or cua?
The best choice depends on your use case. Choose arr-mcp if Diagnose why requested media isn't appearing in your library, spanning multiple services like Seerr, Radarr, and Jellyfin., and cua if Developing and deploying AI agents for autonomous desktop interaction and task completion..
Is arr-mcp free or open source?
Yes, arr-mcp is open source on GitHub (MIT).
Is cua free or open source?
Yes, cua is open source on GitHub (MIT).
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