# nas-mcp-server

> Use this tool when you need to manage a media server stack using natural language, solving problems of content discovery and request management across multiple platforms like Plex, Radarr, and Trakt.tv. It takes natural language inputs and outputs relevant media content and management actions. Ideal for streamlining media browsing and discovery workflows in home media servers or entertainment systems.

Canonical page: https://skillsregistry.net/skills/matthieurosset-nas-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/matthieurosset-nas-mcp-server

## Description

MCP server for managing a media server stack (Plex, Radarr, Overseerr, Bazarr, Prowlarr, Trakt.tv) using natural language to browse, request, and discover content.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cmiiwouxmm)
- **Repository:** <https://github.com/matthieurosset/nas-mcp-server>

## 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": "matthieurosset-nas-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/matthieurosset-nas-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/matthieurosset-nas-mcp-server/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