# Radarr and Sonarr MCP Server

> Use this tool when you need to integrate AI assistants with your media collection, allowing them to access and query your movies and TV shows via Radarr and Sonarr APIs. It solves problems of media discovery and recommendation by providing a unified interface for AI agents to retrieve information about your collection. The tool takes API queries as input and returns relevant media metadata as output, ideal for use cases where AI-driven media suggestions are desired.

Canonical page: https://skillsregistry.net/skills/berrykuipers-mcp-services-radarr-sonarr  
JSON: https://api.skillsregistry.net/v1/skills/berrykuipers-mcp-services-radarr-sonarr

## Description

A Python-based Model Context Protocol server that allows AI assistants like Claude to access and query your movie and TV show collection via Radarr and Sonarr APIs.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-21

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jdq7usll6h)
- **Repository:** <https://github.com/BerryKuipers/mcp_services_radarr_sonarr>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "berrykuipers-mcp-services-radarr-sonarr"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/berrykuipers-mcp-services-radarr-sonarr` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/berrykuipers-mcp-services-radarr-sonarr/pull`

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