Bring Movies
to LangChain
Learn how to connect Radarr (Movies) to LangChain 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 LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Radarr (Movies) through native MCP adapters. Connect 15 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine Radarr (Movies) MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Radarr (Movies) queries for multi-turn workflows
Radarr (Movies) in LangChain
Radarr (Movies) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Radarr (Movies) to LangChain 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 LangChain
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 LangChain 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 LangChain
Every tool call from LangChain 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 LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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