# bangermap-mcp

> bangermap-mcp — adesiahq-bangermap-integrations. Use this tool when you need to analyze YouTube channels and identify outlier videos that significantly outperform their average content. It solves problems related to content research, niche discovery, and channel comparison by providing ranked uploads and scoring Shorts and long-form videos separately. The tool takes a Data API key as input and outputs comparative rankings and niche expansion suggestions, making it ideal for YouTube researchers and content creators seeking to understand their audience and optimize their content strategy.

Canonical page: https://skillsregistry.net/skills/adesiahq-bangermap-integrations  
JSON: https://api.skillsregistry.net/v1/skills/adesiahq-bangermap-integrations

## Description

YouTube outlier research on your own free Data API key. It ranks a channel's uploads by their multiple against that channel's own baseline, with Shorts and long-form scored separately, compares several channels at once, and expands a niche from a seed channel.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/c79g9y3mmj)
- **Repository:** <https://github.com/AdesiaHQ/bangermap-integrations>

## 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": "adesiahq-bangermap-integrations"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adesiahq-bangermap-integrations` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adesiahq-bangermap-integrations/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