# RadarLED

> RadarLED — akilmaxx-radarled. Use this tool when you need to analyze social media trends and competitor performance on Instagram and TikTok. RadarLED provides read-only competitive intelligence, enabling audience comparison, creative detection, and strategy classification from public data. It offers insights through a server-based interface, making it ideal for market research and social media strategy development.

Canonical page: https://skillsregistry.net/skills/akilmaxx-radarled  
JSON: https://api.skillsregistry.net/v1/skills/akilmaxx-radarled

## Description

MCP server for RadarLED, providing read-only competitive intelligence from Instagram and TikTok public data, including audience comparison, creative detection, and strategy classification.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wdnevw8uqn)
- **Repository:** <https://github.com/AKILMAXX/radarled>

## 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": "akilmaxx-radarled"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/akilmaxx-radarled` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/akilmaxx-radarled/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