# Gotify RMCP

> Gotify RMCP — ai-dinglebear-rgotify. Use this tool when you need to manage notifications and applications remotely, solving issues of centralized control and automation. Gotify RMCP provides a command-line interface (CLI) for sending notifications and managing clients and messages over Message Control Protocol (MCP). It is ideal for use cases requiring automated notification systems and remote application management.

Canonical page: https://skillsregistry.net/skills/ai-dinglebear-rgotify  
JSON: https://api.skillsregistry.net/v1/skills/ai-dinglebear-rgotify

## Description

Gotify notifications and app, client, and message management over MCP and CLI.

## Trust

- **Trust score (0–1):** 0.59
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.1.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.dinglebear%2Frgotify)
- **Repository:** <https://github.com/dinglebear-ai/rgotify>

## 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": "ai-dinglebear-rgotify"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-dinglebear-rgotify` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-dinglebear-rgotify/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