Radarr (Movies) MCP Server for Pydantic AIGive Pydantic AI instant access to 15 tools to Add Movie, Delete Movie, Delete Queue Item, and more
GDPR Free for SubscribersPydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Radarr (Movies) through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this MCP Server for Pydantic AI
The Radarr (Movies) MCP Server for Pydantic AI 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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Radarr (Movies) "
"(15 tools)."
),
)
result = await agent.run(
"What tools are available in Radarr (Movies)?"
)
print(result.data)
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.
Pydantic AI validates every Radarr (Movies) tool response against typed schemas, catching data inconsistencies at build time. Connect 15 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI
When Pydantic AI 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 Pydantic AI via MCP
Follow these steps to wire Radarr (Movies) into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Radarr (Movies) MCP Server
Pydantic AI provides unique advantages when paired with Radarr (Movies) through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Radarr (Movies) integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Radarr (Movies) connection logic from agent behavior for testable, maintainable code
Radarr (Movies) + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Radarr (Movies) MCP Server delivers measurable value.
Type-safe data pipelines: query Radarr (Movies) with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Radarr (Movies) tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Radarr (Movies) and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Radarr (Movies) responses and write comprehensive agent tests
Example Prompts for Radarr (Movies) in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Radarr (Movies) to Pydantic AI through Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiRadarr (Movies) + Pydantic AI FAQ
Common questions about integrating Radarr (Movies) MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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