# sonarr-radarr-mcp

> sonarr-radarr-mcp — dannyj-sonarr-radarr-mcp. Use this tool when you need to automate TV show and movie management, including searching and adding titles, and monitoring downloads. It solves problems of manual media management by integrating with Sonarr and Radarr, providing a seamless interface for AI assistants to input search queries and receive output on download status. Ideal for use in home media server setups, it streamlines media collection management with minimal user input required.

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

## Description

Enables AI assistants to manage TV shows and movies via Sonarr and Radarr, including searching, adding, and monitoring downloads.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qzw5brdqh1)
- **Repository:** <https://github.com/dannyj/sonarr-radarr-mcp>

## 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": "dannyj-sonarr-radarr-mcp"
    }
  }
}
```

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

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt