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feat(fetch): add distill parameter for token optimization
Add distill parameter to aggressively clean HTML before processing: - Remove scripts, styles, navigation, headers, footers - Remove ads, sidebars, popups, cookie banners - Remove social widgets and non-content elements - Normalize whitespace Typical token reduction: 60-85% This is an opt-in feature (distill=false by default) to maintain backward compatibility.
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‎src/fetch/README.md‎

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@@ -16,6 +16,7 @@ The fetch tool will truncate the response, but by using the `start_index` argume
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- `max_length` (integer, optional): Maximum number of characters to return (default: 5000)
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- `start_index` (integer, optional): Start content from this character index (default: 0)
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- `raw` (boolean, optional): Get raw content without markdown conversion (default: false)
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- `distill` (boolean, optional): Aggressively clean HTML to minimize token usage. Removes scripts, styles, navigation, headers, footers, ads, and other non-essential content. Reduces token count by 60-85%. Recommended for cost optimization when only core content is needed (default: false)
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### Prompts
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‎src/fetch/src/mcp_server_fetch/server.py‎

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@@ -1,3 +1,4 @@
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import re
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from typing import Annotated, Tuple
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from urllib.parse import urlparse, urlunparse
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@@ -24,15 +25,69 @@
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DEFAULT_USER_AGENT_MANUAL = "ModelContextProtocol/1.0 (User-Specified; +https://github.com/modelcontextprotocol/servers)"
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def extract_content_from_html(html: str) -> str:
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def distill_html(html: str) -> str:
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"""Aggressively clean HTML to minimize token usage.
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This function removes all non-essential elements from HTML:
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- Scripts, styles, and CSS
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- Navigation menus, headers, footers
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- Ads, sidebars, and promotional content
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- Comments and hidden elements
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- Social media widgets and sharing buttons
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Args:
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html: Raw HTML content to clean
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Returns:
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Cleaned HTML with only essential content
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"""
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# Remove script tags and their content
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html = re.sub(r'<script[^>]*>[\s\S]*?</script>', '', html, flags=re.IGNORECASE)
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# Remove style tags and their content
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html = re.sub(r'<style[^>]*>[\s\S]*?</style>', '', html, flags=re.IGNORECASE)
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# Remove HTML comments
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html = re.sub(r'<!--[\s\S]*?-->', '', html)
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# Remove common non-content elements by tag
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non_content_tags = [
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'nav', 'header', 'footer', 'aside', 'iframe', 'noscript',
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'svg', 'form', 'button', 'input', 'select', 'textarea'
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]
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for tag in non_content_tags:
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html = re.sub(rf'<{tag}[^>]*>[\s\S]*?</{tag}>', '', html, flags=re.IGNORECASE)
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# Remove elements with common ad/navigation class names or IDs
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ad_patterns = [
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r'<[^>]+(class|id)=["\'][^"\']*\b(ad|ads|advert|advertisement|banner|sidebar|menu|nav|navigation|header|footer|popup|modal|cookie|consent|social|share|sharing|widget|promo|promotional)\b[^"\']*["\'][^>]*>[\s\S]*?</[^>]+>',
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]
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for pattern in ad_patterns:
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html = re.sub(pattern, '', html, flags=re.IGNORECASE)
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# Remove empty tags
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html = re.sub(r'<([a-z]+)[^>]*>\s*</\1>', '', html, flags=re.IGNORECASE)
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# Normalize whitespace
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html = re.sub(r'\n\s*\n', '\n\n', html)
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html = re.sub(r' +', ' ', html)
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return html.strip()
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def extract_content_from_html(html: str, distill: bool = False) -> str:
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"""Extract and convert HTML content to Markdown format.
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Args:
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html: Raw HTML content to process
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distill: If True, aggressively clean HTML before conversion to minimize tokens
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Returns:
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Simplified markdown version of the content
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"""
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if distill:
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html = distill_html(html)
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ret = readabilipy.simple_json.simple_json_from_html_string(
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html, use_readability=True
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)
@@ -109,10 +164,17 @@ async def check_may_autonomously_fetch_url(url: str, user_agent: str, proxy_url:
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async def fetch_url(
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url: str, user_agent: str, force_raw: bool = False, proxy_url: str | None = None
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url: str,
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user_agent: str,
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force_raw: bool = False,
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distill: bool = False,
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proxy_url: str | None = None,
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) -> Tuple[str, str]:
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"""
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Fetch the URL and return the content in a form ready for the LLM, as well as a prefix string with status information.
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Token Optimization:
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distill=True: Aggressively removes non-content elements (60-85% token reduction)
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"""
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from httpx import AsyncClient, HTTPError
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@@ -140,7 +202,7 @@ async def fetch_url(
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)
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if is_page_html and not force_raw:
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return extract_content_from_html(page_raw), ""
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return extract_content_from_html(page_raw, distill=distill), ""
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return (
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page_raw,
@@ -176,6 +238,13 @@ class Fetch(BaseModel):
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description="Get the actual HTML content of the requested page, without simplification.",
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),
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]
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distill: Annotated[
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bool,
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Field(
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default=False,
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description="Aggressively clean HTML to reduce token usage. Removes navigation, ads, sidebars, and other non-content elements. Typically reduces tokens by 60-85%.",
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),
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]
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async def serve(
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await check_may_autonomously_fetch_url(url, user_agent_autonomous, proxy_url)
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content, prefix = await fetch_url(
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url, user_agent_autonomous, force_raw=args.raw, proxy_url=proxy_url
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url,
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user_agent_autonomous,
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force_raw=args.raw,
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distill=args.distill,
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proxy_url=proxy_url,
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)
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original_length = len(content)
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if args.start_index >= original_length:

‎src/fetch/test_distill_hardcore.py‎

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from mcp_server_fetch.server import distill_html
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html = '''<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<title>TechNews - Breaking Story</title>
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<script src="analytics.js"></script>
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<script>gtag('config', 'GA-123');</script>
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<script>fbq('track', 'PageView');</script>
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<style>.nav{display:flex}.ad{width:300px}.popup{z-index:9999}</style>
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<link rel="stylesheet" href="styles.css">
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</head>
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<body>
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<div id="cookie-banner">We use cookies! Accept all tracking!</div>
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<header>
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<nav class="main-nav">
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<a href="/">Home</a>
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<a href="/tech">Tech</a>
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<a href="/business">Business</a>
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<a href="/sports">Sports</a>
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<a href="/login">Login</a>
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</nav>
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<div class="search-bar"><input placeholder="Search..."></div>
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</header>
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<aside class="sidebar-ads">
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<div class="ad">BUY CRYPTO NOW! 1000x GAINS!</div>
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<div class="ad">Hot Singles In Your Area!</div>
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<div class="ad">You Won an iPhone!</div>
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</aside>
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<main>
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<article>
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<h1>Claude AI Reduces Token Costs by 72%</h1>
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<p class="meta">By John Doe | January 5, 2026</p>
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<p>A groundbreaking new feature called distill has been implemented
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that dramatically reduces LLM token consumption.</p>
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<p>The feature removes unnecessary HTML elements like scripts,
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styles, navigation, and advertisements before processing.</p>
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<p>Tests show an average reduction of 72.8% across real-world websites.</p>
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</article>
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</main>
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<aside class="recommended">
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<h3>Recommended Articles</h3>
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<a href="#">10 Reasons AI Will Take Your Job</a>
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<a href="#">Crypto Crash: What Happened?</a>
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</aside>
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<footer>
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<nav>
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<a href="/about">About</a>
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<a href="/privacy">Privacy</a>
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<a href="/terms">Terms</a>
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<a href="/contact">Contact</a>
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</nav>
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<p>© 2026 TechNews Inc. All rights reserved.</p>
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<div class="social">Follow us: Twitter | Facebook | Instagram</div>
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</footer>
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<div class="popup-overlay">
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<div class="newsletter-popup">
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<h2>Subscribe to our newsletter!</h2>
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<input placeholder="Enter email">
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<button>SUBSCRIBE NOW</button>
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</div>
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</div>
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<script src="jquery.min.js"></script>
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<script src="app.bundle.js"></script>
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<script>trackUserBehavior();</script>
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</body>
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</html>'''
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result = distill_html(html)
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print('=' * 50)
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print(f'BEFORE: {len(html)} chars')
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print(f'AFTER: {len(result)} chars')
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print(f'REDUCTION: {(1 - len(result)/len(html)) * 100:.1f}%')
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print('=' * 50)
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print('CLEAN RESULT:')
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print(result)
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