# quickerspot-mcp

> quickerspot-mcp — raphaelinacio-quickerspot-mcp. Use this tool when you need to automate commercial radio and retail sound management with AI-powered technology. The quickerspot-mcp server connects AI assistants to QuickerSpot's voice engine, script generator, and indoor radio mixer, streamlining audio content creation and playback. Ideal for use cases requiring seamless integration of AI-generated audio content into commercial environments.

Canonical page: https://skillsregistry.net/skills/raphaelinacio-quickerspot-mcp  
JSON: https://api.skillsregistry.net/v1/skills/raphaelinacio-quickerspot-mcp

## Description

Official Model Context Protocol (MCP) Server for QuickerSpot — AI-powered commercial radio and retail sound automation.

Connect your AI Assistants (Cursor IDE, Claude Desktop, Antigravity, Hermes Agent, OpenClaw) directly to QuickerSpot's ElevenLabs V3 voice engine, AI script generator, and indoor radio mixer.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ab3dze3aiw)
- **Repository:** <https://github.com/raphaelInacio/quickerspot-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": "raphaelinacio-quickerspot-mcp"
    }
  }
}
```

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