# WikiCleanHTML

> WikiCleanHTML — alavna-wikicleanhtml. Use this tool when you need to extract clean and readable HTML content from Wikipedia articles, stripping away clutter such as citations and infoboxes. It solves problems of messy web scraping and information overload by providing a simplified output. The tool takes article titles or random selection as input and returns cleaned HTML with optional retention of images, tables, or links.

Canonical page: https://skillsregistry.net/skills/alavna-wikicleanhtml  
JSON: https://api.skillsregistry.net/v1/skills/alavna-wikicleanhtml

## Description

Fetches Wikipedia articles and returns cleaned, readable HTML stripped of citations, infoboxes, navboxes, and other clutter. Enables fetching specific articles or random ones with options to keep images, tables, or links.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a8utl0ljis)
- **Repository:** <https://github.com/alavna/wikicleanhtml>

## 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": "alavna-wikicleanhtml"
    }
  }
}
```

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