# media2html

> media2html — tip-tutaki-media2html. Use this tool when you need to convert multimedia content into structured HTML for text-based analysis or reasoning. It solves problems of incompatible media formats and enables Large Language Models (LLMs) to reason about visual and audio content. The tool takes images, videos, and audio as input and outputs optimized HTML representations.

Canonical page: https://skillsregistry.net/skills/tip-tutaki-media2html  
JSON: https://api.skillsregistry.net/v1/skills/tip-tutaki-media2html

## Description

Converts images, videos, and audio into structured, cacheable HTML representations optimized for text-based LLM reasoning.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xgtanmnnrm)
- **Repository:** <https://github.com/Tip-Tutaki/media2html>

## 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": "tip-tutaki-media2html"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tip-tutaki-media2html` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tip-tutaki-media2html/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