WikiCleanHTML
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.
README
WikiCleanHTML
An MCP server that fetches Wikipedia articles and returns cleaned, readable HTML — stripped of citations, infoboxes, navboxes, edit sections, and other clutter.
Also includes a standalone browser UI (index.html) that works without any server.
Features
- Fetches any Wikipedia article by title, or a random one
- Strips Wikipedia-specific clutter: citations
[1], edit sections, infoboxes, navboxes, TOC, metadata - Sanitizes output HTML with a strict tag/attribute allowlist
- Normalizes relative links to absolute Wikipedia URLs
- Saves cleaned HTML + plain text to local files
- Options to keep/remove images, tables, and links
Quick Start — MCP Server
1. Clone and install
git clone https://github.com/alavna/wikicleanhtml.git
cd wikicleanhtml
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
2. Register with Claude Code
claude mcp add --scope user wikicleanhtml -- /path/to/wikicleanhtml/.venv/bin/python /path/to/wikicleanhtml/mcp_server.py
Or manually add to your MCP config:
{
"mcpServers": {
"wikicleanhtml": {
"command": "/path/to/wikicleanhtml/.venv/bin/python",
"args": ["/path/to/wikicleanhtml/mcp_server.py"]
}
}
}
3. Use it
In Claude Code, just say:
"Fetch the Wikipedia article on Insulin"
Claude calls wiki_fetch_article(title="Insulin") and gets back:
{
"title": "Insulin",
"source_url": "https://en.wikipedia.org/wiki/Insulin",
"html_file": "~/.wikicleanhtml/articles/Insulin.html",
"text_file": "~/.wikicleanhtml/articles/Insulin.txt",
"html_length": 45230,
"text_length": 28100,
"removed": { "references": 142, "infoboxes": 1, "navboxes": 4, "tables": 3 }
}
The cleaned article is saved locally — Claude can read the file if needed, without loading raw Wikipedia HTML into context.
MCP Tools
| Tool | Description |
|---|---|
wiki_fetch_article |
Fetch a specific article by title |
wiki_fetch_random |
Fetch a random Wikipedia article |
Options (all tools):
| Parameter | Type | Default | Description |
|---|---|---|---|
title |
string | required | Wikipedia article title (fetch_article only) |
keep_images |
bool | false |
Preserve <img> tags |
keep_tables |
bool | false |
Preserve <table> elements |
keep_links |
bool | true |
Preserve <a> hyperlinks (text always kept) |
Output files are saved to ~/.wikicleanhtml/articles/.
Browser UI
Open index.html directly in any browser. No server needed — it fetches from Wikipedia's CORS-enabled API and cleans client-side with DOMPurify.
What gets removed
| Clutter | Selector examples |
|---|---|
| Citation markers | sup.reference ([1], [2], ...) |
| Edit sections | .mw-editsection |
| Hatnotes | .hatnote |
| Infoboxes | .infobox |
| Navigation boxes | .navbox |
| Table of contents | #toc, .toc |
| Reference lists | .reflist, .references |
| Message boxes | .ambox, .tmbox, etc. |
| Category links | #catlinks |
| Scripts, styles, metadata | script, style, meta, link |
What gets preserved
Headings (h1-h4), paragraphs, lists (ul/ol/li), links, emphasis (strong/em), code/pre, blockquote, br/hr.
All output is sanitized through a strict allowlist — no inline styles, event handlers, scripts, iframes, or unknown tags survive.
Tests
cd wikicleanhtml
source .venv/bin/activate
pytest tests/ -v
23 unit tests covering: reference removal, edit section removal, hatnote removal, infobox/navbox removal, TOC removal, image/table toggling, XSS sanitization, link normalization, structure preservation, and plain text extraction.
Wikimedia API Etiquette
This tool follows Wikimedia API guidelines:
- User-Agent: All requests include a descriptive
User-Agentheader - Rate: One Wikipedia request per tool call — no bulk fetching
- Caching: Articles are saved to disk; re-read the file instead of re-fetching
- Not intended for high-traffic or production use without Wikimedia approval
Project Structure
wikicleanhtml/
├── mcp_server.py # MCP server entry point (2 tools)
├── cleaner.py # HTML cleaning/sanitization logic
├── index.html # Standalone browser UI
├── requirements.txt # Python dependencies
├── tests/
│ └── test_cleaner.py
└── README.md
License
MIT
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