Radarr (Movies) MCP Server for LangChainGive LangChain instant access to 15 tools to Add Movie, Delete Movie, Delete Queue Item, and more
GDPR Free for SubscribersLangChain is the leading Python framework for composable LLM applications. Connect Radarr (Movies) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this MCP Server for LangChain
The Radarr (Movies) MCP Server for LangChain is a standout in the Content Management category — giving your AI agent 15 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"radarr-movies": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Radarr (Movies), show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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
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.
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.
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 LangChain 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 LangChain
When LangChain 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 movie on Radarr (Movies)
Requires TMDB ID, quality profile, and root folder path. Add a new movie to Radarr
Delete movie on Radarr (Movies)
Remove a movie from Radarr
Delete queue item on Radarr (Movies)
Remove an item from the download queue
Execute command on Radarr (Movies)
g., RescanMovie, MovieSearch, RefreshMovie, RenameMovie). Execute a specific system command
Get commands on Radarr (Movies)
List active or recently completed commands
Get disk space on Radarr (Movies)
Get disk space information
Get history on Radarr (Movies)
View the history of grabs and imports
Get movie on Radarr (Movies)
Get details for a specific movie
Get quality profiles on Radarr (Movies)
g., HD-1080p, Ultra-HD) configured in Radarr. Get available quality profiles
Get queue on Radarr (Movies)
Get the current download queue
Get root folders on Radarr (Movies)
Get configured root folders
Get system status on Radarr (Movies)
Get Radarr system status
List movies on Radarr (Movies)
List all movies in the Radarr library
Lookup movie on Radarr (Movies)
g., "term=Inception" or "term=tmdb:27205"). Search for movies to add to Radarr
Update movie on Radarr (Movies)
Provide the full movie object payload. Update an existing movie in Radarr
Connect Radarr (Movies) to LangChain via MCP
Follow these steps to wire Radarr (Movies) into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Radarr (Movies) MCP Server
LangChain provides unique advantages when paired with Radarr (Movies) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Radarr (Movies) MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Radarr (Movies) queries for multi-turn workflows
Radarr (Movies) + LangChain Use Cases
Practical scenarios where LangChain combined with the Radarr (Movies) MCP Server delivers measurable value.
RAG with live data: combine Radarr (Movies) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Radarr (Movies), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Radarr (Movies) tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Radarr (Movies) tool call, measure latency, and optimize your agent's performance
Example Prompts for Radarr (Movies) in LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Radarr (Movies) to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersRadarr (Movies) + LangChain FAQ
Common questions about integrating Radarr (Movies) MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
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