# dashbrr-mcp

> dashbrr-mcp — savagecore-dashbrr-mcp. Use this tool when you need to manage and interact with a Dashbrr instance, exposing its REST API for tasks such as configuring services, monitoring health, and managing settings. It solves problems related to automating Dashbrr tasks, such as settings management and download queue management, and provides inputs for tools like Overseerr approvals and Plex auth PIN flow. It outputs summary panels and service health information, making it ideal for use cases involving automation and integration with other apps.

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

## Description

MCP server exposing Dashbrr's REST API as tools, so an LLM can read and manage a dashbrr instance: configured services, per-service health, and summary panels for many apps. Write tools cover settings management, download-queue deletes, Overseerr approvals, UI preferences, and the Plex auth PIN flow.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xw1ztawy39)
- **Repository:** <https://github.com/arr-mcps/dashbrr-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-dashbrr-mcp"
    }
  }
}
```

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