# mcp-tautulli

> Use this tool when you need to track and monitor media player activity with simplicity and ease. It solves problems related to media usage analytics by providing 11 key Tautulli metrics, offering insights into user behavior and playback trends. With a single file setup, it accepts Tautulli data as input and outputs concise tracking information for informed decision-making.

Canonical page: https://skillsregistry.net/skills/lodordev-mcp-tautulli  
JSON: https://api.skillsregistry.net/v1/skills/lodordev-mcp-tautulli

## Description

A single file simple MCP server tracking 11 relevant tautulli metrics.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j9i608ninr)
- **Repository:** <https://github.com/lodordev/mcp-tautulli>

## 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": "lodordev-mcp-tautulli"
    }
  }
}
```

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