# FMHY

> Use this tool when you need to access and navigate the FMHY community dataset, solving problems of data discovery and retrieval across various sections and entries. It provides a range of functionalities, including keyword search, section retrieval, and URL-based lookup, with inputs of search queries, section headings, and URLs, and outputs of relevant data and section listings. Utilize FMHY in contexts where efficient data exploration and caching are crucial, such as research, content creation, or community engagement.

Canonical page: https://skillsregistry.net/skills/kenhendricks00-fmhy  
JSON: https://api.skillsregistry.net/v1/skills/kenhendricks00-fmhy

## Description

Exposes the FMHY (Free Media Hacking YouTube) community dataset through five MCP tools: keyword search across all sections, section retrieval by heading or identifier, URL-based entry lookup, section listing for navigation, and cache refresh. Fetches data from the FMHY API with automatic 6-hour caching and configurable refresh intervals.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kenhendricks00-fmhy)
- **Repository:** <https://github.com/kenhendricks00/fmhy-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": "kenhendricks00-fmhy"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kenhendricks00-fmhy` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kenhendricks00-fmhy/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