# radarr-mcp

> radarr-mcp — savagecore-radarr-mcp. Use this tool when you need to integrate Radarr's movie management capabilities into your workflow, enabling large language models (LLMs) to read and manage movie data, including downloads, history, and indexers. It exposes Radarr's v3 REST API as tools, allowing for seamless interaction and automation. Ideal for use cases requiring programmatic access to movie metadata and management functions.

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

## Description

MCP server exposing Radarr's v3 REST API as tools, enabling LLMs to read and manage movies, downloads, history, indexers, and more.

## 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:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xu4v30f02o)
- **Repository:** <https://github.com/arr-mcps/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": "savagecore-radarr-mcp"
    }
  }
}
```

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