Bring Movies
to CrewAI
Learn how to connect Radarr (Movies) to CrewAI and start using 15 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your Radarr URL and API Key
- Start managing your media library from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Home Lab Enthusiasts — manage your media server without opening the web UI
- Content Collectors — quickly search and add movies to your watchlist via chat
- System Administrators — monitor disk space and download health across your media stack
Built-in capabilities (15)
Requires TMDB ID, quality profile, and root folder path. Add a new movie to Radarr
Remove a movie from Radarr
Remove an item from the download queue
g., RescanMovie, MovieSearch, RefreshMovie, RenameMovie). Execute a specific system command
List active or recently completed commands
Get disk space information
View the history of grabs and imports
Get details for a specific movie
g., HD-1080p, Ultra-HD) configured in Radarr. Get available quality profiles
Get the current download queue
Get configured root folders
Get Radarr system status
List all movies in the Radarr library
g., "term=Inception" or "term=tmdb:27205"). Search for movies to add to Radarr
Provide the full movie object payload. Update an existing movie in Radarr
Why CrewAI?
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.
- —
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
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter 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
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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) in CrewAI
Radarr (Movies) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Radarr (Movies) to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Radarr (Movies) in CrewAI
The Radarr (Movies) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 15 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Radarr (Movies) for CrewAI
Every tool call from CrewAI to the Radarr (Movies) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I search for movies on TMDB before adding them to my library?
Yes! Use the lookup_movie tool with a search term. The agent will return potential matches from TMDB, which you can then add using add_movie.
How do I check if I have enough disk space for new downloads?
Simply ask the agent to run the get_disk_space tool. It will provide a list of all connected drives and their available capacity.
Is it possible to remove a movie and its files from the disk simultaneously?
Yes. When using the delete_movie tool, you can set the deleteFiles parameter to true to ensure the media is wiped from your storage.
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.
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.
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