Radarr (Movies) MCP Server for CrewAIGive CrewAI instant access to 15 tools to Add Movie, Delete Movie, Delete Queue Item, and more

Name: Radarr (Movies)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Connect your CrewAI agents to Radarr (Movies) through Vinkius, pass the Edge URL in the `mcps` parameter and every Radarr (Movies) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The Radarr (Movies) MCP Server for CrewAI is a standout in the Content Management category — giving your AI agent 15 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Radarr (Movies) Specialist",
    goal="Help users interact with Radarr (Movies) effectively",
    backstory=(
        "You are an expert at leveraging Radarr (Movies) tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Radarr (Movies) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 15 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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About Radarr (Movies) MCP Server

Connect your Radarr instance to any AI agent to take full control of your movie collection and PVR workflows through natural conversation.

When paired with CrewAI, Radarr (Movies) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Radarr (Movies) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Library Management — List all movies in your collection, fetch detailed metadata, and update movie configurations.
Discovery & Search — Search for new movies using TMDB integration and add them to your library with specific quality profiles.
Download Monitoring — Track your active download queue, view history of grabs/imports, and manage queue items.
System Operations — Check disk space, system status, and execute internal commands like library refreshes.
Infrastructure Mapping — Retrieve root folders and quality profiles to ensure correct organization of your media files.

The Radarr (Movies) MCP Server exposes 15 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 15 Radarr (Movies) tools available for CrewAI

When CrewAI connects to Radarr (Movies) through Vinkius, your AI agent gets direct access to every tool listed below — spanning movies, media-server, pvr, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add movie on Radarr (Movies)

Requires TMDB ID, quality profile, and root folder path. Add a new movie to Radarr

delete

Delete movie on Radarr (Movies)

Remove a movie from Radarr

delete

Delete queue item on Radarr (Movies)

Remove an item from the download queue

execute

Execute command on Radarr (Movies)

g., RescanMovie, MovieSearch, RefreshMovie, RenameMovie). Execute a specific system command

get

Get commands on Radarr (Movies)

List active or recently completed commands

get

Get disk space on Radarr (Movies)

Get disk space information

get

Get history on Radarr (Movies)

View the history of grabs and imports

get

Get movie on Radarr (Movies)

Get details for a specific movie

get

Get quality profiles on Radarr (Movies)

g., HD-1080p, Ultra-HD) configured in Radarr. Get available quality profiles

get

Get queue on Radarr (Movies)

Get the current download queue

get

Get root folders on Radarr (Movies)

Get configured root folders

get

Get system status on Radarr (Movies)

Get Radarr system status

list

List movies on Radarr (Movies)

List all movies in the Radarr library

lookup

Lookup movie on Radarr (Movies)

g., "term=Inception" or "term=tmdb:27205"). Search for movies to add to Radarr

update

Update movie on Radarr (Movies)

Provide the full movie object payload. Update an existing movie in Radarr

Connect Radarr (Movies) to CrewAI via MCP

Follow these steps to wire Radarr (Movies) into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 15 tools from Radarr (Movies)

Why Use CrewAI with the Radarr (Movies) MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Radarr (Movies) through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Radarr (Movies) + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Radarr (Movies) MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Radarr (Movies) for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Radarr (Movies), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Radarr (Movies) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Radarr (Movies) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Radarr (Movies) in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Radarr (Movies) immediately.

"List all movies currently in my Radarr library."

"Search for the movie 'Inception' and tell me its TMDB ID."

"Show me the current download queue and estimated completion times."

Troubleshooting Radarr (Movies) MCP Server with CrewAI

Common issues when connecting Radarr (Movies) to CrewAI through Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Radarr (Movies) + CrewAI FAQ

Common questions about integrating Radarr (Movies) MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.