Radarr and Sonarr MCP Server

A Python-based Model Context Protocol (MCP) server that provides AI assistants like Claude with access to your Radarr (movies) and Sonarr (TV series) data.

Overview

This MCP server allows AI assistants to query your movie and TV show collection via Radarr and Sonarr APIs. Built with FastMCP, it implements the standardized protocol for AI context that Claude Desktop and other MCP-compatible clients can use.

Features

Native MCP Implementation: Built with FastMCP for seamless AI integration
Radarr Integration: Access your movie collection
Sonarr Integration: Access your TV show and episode data
Rich Filtering: Filter by year, watched status, actors, and more
Claude Desktop Compatible: Works seamlessly with Claude's MCP client
Easy Setup: Interactive configuration wizard
Well-tested: Comprehensive test suite for reliability

Installation

From Source

Clone this repository:

git clone https://github.com/yourusername/radarr-sonarr-mcp.git
cd radarr-sonarr-mcp-python

Install the package:
```
pip install -e .
```

Using pip (coming soon)

pip install radarr-sonarr-mcp

Quick Start

Configure the server:
```
radarr-sonarr-mcp configure
```
Follow the prompts to enter your Radarr/Sonarr API keys and other settings.
Start the server:
```
radarr-sonarr-mcp start
```
Connect Claude Desktop:
- In Claude Desktop, go to Settings > MCP Servers
- Add a new server with URL: http://localhost:3000 (or your configured port)

Configuration

The configuration wizard will guide you through setting up:

NAS/Server IP address
Radarr API key and port
Sonarr API key and port
MCP server port

You can also manually edit the config.json file:

{
  "nasConfig": {
    "ip": "10.0.0.23",
    "port": "7878"
  },
  "radarrConfig": {
    "apiKey": "YOUR_RADARR_API_KEY",
    "basePath": "/api/v3",
    "port": "7878"
  },
  "sonarrConfig": {
    "apiKey": "YOUR_SONARR_API_KEY",
    "basePath": "/api/v3",
    "port": "8989"
  },
  "server": {
    "port": 3000
  }
}

Available MCP Tools

This server provides the following tools to Claude:

Movies

get_available_movies - Get a list of movies with optional filters
lookup_movie - Search for a movie by title
get_movie_details - Get detailed information about a specific movie

Series

get_available_series - Get a list of TV series with optional filters
lookup_series - Search for a TV series by title
get_series_details - Get detailed information about a specific series
get_series_episodes - Get episodes for a specific series

Resources

The server also provides standard MCP resources:

/movies - Browse all available movies
/series - Browse all available TV series

Filtering Options

Most tools support various filtering options:

year - Filter by release year
watched - Filter by watched status (true/false)
downloaded - Filter by download status (true/false)
watchlist - Filter by watchlist status (true/false)
actors - Filter by actor/cast name
actresses - Filter by actress name (movies only)

Example Queries for Claude

Once your MCP server is connected to Claude Desktop, you can ask questions like:

"What sci-fi movies from 2023 do I have?"
"Show me TV shows starring Pedro Pascal"
"Do I have any unwatched episodes of The Mandalorian?"
"Find movies with Tom Hanks that I haven't watched yet"
"How many episodes of Stranger Things do I have downloaded?"

Finding API Keys

Radarr API Key

Open Radarr in your browser
Go to Settings > General
Find the "API Key" section
Copy the API Key

Sonarr API Key

Open Sonarr in your browser
Go to Settings > General
Find the "API Key" section
Copy the API Key

Command-Line Interface

The package provides a command-line interface:

radarr-sonarr-mcp configure - Run configuration wizard
radarr-sonarr-mcp start - Start the MCP server
radarr-sonarr-mcp status - Show the current configuration

Development

Running Tests

To run the test suite:

# Install development dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Run tests with coverage
pytest --cov=radarr_sonarr_mcp

Local Development

For quick development and testing:

# Run directly without installation
python run.py

Requirements

Python 3.7+
FastMCP
Requests
Pydantic

Notes

The watched/watchlist status functionality assumes these are tracked using specific mechanisms in Radarr/Sonarr. You may need to adapt this to your specific setup.
For security reasons, it's recommended to run this server only on your local network.