# Revel Digital MCP Server

> Use this tool when you need to manage digital signage infrastructure using natural language commands, enabling control of devices, content, and playlists through the Revel Digital REST API. It solves problems related to remote device management, content scheduling, and system monitoring, providing a streamlined interface for AI assistants to interact with digital signage systems. Ideal for use cases requiring automated or voice-controlled digital signage management, with inputs including natural language commands and outputs including device status and content updates.

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

## Description

Enables AI assistants to manage digital signage infrastructure through the Revel Digital REST API, allowing natural language control of devices, content, playlists, and system monitoring.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rwngajb1yd)
- **Repository:** <https://github.com/RevelDigital/reveldigital-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": "reveldigital-reveldigital-mcp-server"
    }
  }
}
```

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

---
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