AgentIndex icon
AgentIndex
arr-mcp logo
arr-mcp
★ 82
vs
oto-dock logo
oto-dock
★ 193

arr-mcp vs oto-dock

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.; oto-dock: OtoDock is an agentic company OS that empowers organizations to create, manage, and deploy collaborative AI agents for various tasks. It enables agents to connect to company tools, automate workflows, and even build and deploy internal or public applications, all while running on your self-hosted infrastructure.

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.

Read arr-mcp full review →
oto-dock logo
oto-dockMulti-Agent · ★ 193

Automating and orchestrating complex company-wide workflows through collaborative AI agents acting as "digital employees."

Read oto-dock full review →
02

Side-by-Side Comparison

Field
arr-mcp logoarr-mcp
oto-dock logooto-dock
Category
LLM Infra
Multi-Agent
Stars
★ 82
★ 193
License
MIT
NOASSERTION
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
mkdir otodock && cd otodock && curl -fsSLO https://raw.githubusercontent.com/OtoDock/oto-dock/main/scripts/install.sh && bash install.sh
Updated
2d ago
1w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Media Stack Management, Home Server Automation, API Integration
Multi-Agent, Self-hosted, Workflow 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.
oto-dock logooto-dock
01Build, deploy, and manage collaborative AI agents with customizable personas, memory, and tools on a self-hosted platform.
02Agents can build and deploy full-stack internal or public applications, automate workflows, and handle phone communications.
03Run agents securely in kernel sandboxes on your server or remotely on paired local machines with full system access.
04Features integrated document editing, multimedia generation (images, video, audio), and web browsing capabilities for agents.
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.
oto-dock logooto-dock
↳Automating and orchestrating complex company-wide workflows through collaborative AI agents acting as "digital employees."
↳Rapidly building and deploying custom internal applications for teams or public-facing applications for customers, powered by agents.
↳Enabling AI agents to perform tasks requiring local machine access or phone communications, such as system administration or customer support.
05

Best For

arr-mcp logoarr-mcp
—
oto-dock logooto-dock
Hidden Gem
FAQ

FAQ

What is the difference between arr-mcp and oto-dock?
Both arr-mcp and oto-dock are in the LLM Infra category. arr-mcp has 82 stars, while oto-dock has 193 stars.
Which is better, arr-mcp or oto-dock?
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 oto-dock if Automating and orchestrating complex company-wide workflows through collaborative AI agents acting as "digital employees.".
Is arr-mcp free or open source?
Yes, arr-mcp is open source on GitHub (MIT).
Is oto-dock free or open source?
Yes, oto-dock is open source on GitHub (NOASSERTION).
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Related

Alternatives to arr-mcp →Alternatives to oto-dock →arr-mcp details →oto-dock details →