Digest MCP Server
Enables extraction of fully rendered web content from dynamic pages, SPAs, and infinite scroll sites using browserless.io, with support for configurable scrolling and wait times to capture JavaScript-generated content.
README
Digest MCP Server
MCP server for web content digestion using browserless.io via puppeteer-core. Extracts fully rendered DOM content from dynamic web pages including SPAs and infinite scroll sites.
Features
- Connect to browserless.io cloud browsers
- Load web pages with configurable wait times
- Scroll down pages multiple times with delays
- Extract complete page content (HTML)
Installation
npm install
npm run build
Configuration
Set your browserless.io API key using one of these methods:
Option 1: Using .env file (recommended)
Create a .env file in the project root:
cp .env.example .env
Then edit .env and add your API key:
BROWSERLESS_API_KEY=your_api_key_here
Option 2: Using environment variable
export BROWSERLESS_API_KEY=your_api_key_here
Usage
Running the Server
The server uses stdio transport for MCP communication:
node build/index.js
Tool: web_content
Fetches web page content with optional scrolling and HTML cleanup.
Parameters:
url(string, required): The URL to fetchinitialWaitTime(number, optional): Time to wait in milliseconds after loading the page. Default: 3000scrolls(number, optional): Number of times to scroll down the page. Default: 5scrollWaitTime(number, optional): Time to wait in milliseconds between each scroll. Default: 1000cleanup(boolean, optional): Whether to clean up HTML (remove scripts, styles, SVG, forms, etc.) and keep only meaningful text content. Default: false
Returns:
size(number): Size of the content in bytescontent(string): The fetched HTML content
Example:
{
"url": "https://example.com",
"initialWaitTime": 2000,
"scrolls": 3,
"scrollWaitTime": 1000,
"cleanup": true
}
How It Works
- Connects to browserless.io using your API key via WebSocket
- Creates a new page in the remote browser
- Navigates to the specified URL (waits for DOM content loaded)
- Waits 1 second for page stabilization
- Waits for the initial wait time (default: 3 seconds)
- Scrolls to the bottom of the page the specified number of times
- After each scroll, intelligently waits for new content to load by:
- Monitoring page height changes
- Detecting dynamically loaded content
- Waiting up to scrollWaitTime for new content (default: 3 seconds)
- Waits for network to idle (AJAX requests complete)
- Waits 1 additional second for JavaScript rendering
- Returns the fully RENDERED DOM (not raw HTML source)
- Includes all JavaScript-generated content
- Includes all AJAX-loaded content
- Includes all dynamically inserted elements
- Uses
document.documentElement.outerHTMLfor complete rendered state
Dynamic Content & Infinite Scroll
The tool is specifically designed for modern web applications with dynamic content:
AJAX/JavaScript Handling:
- ✅ Waits for network idle: Ensures all AJAX requests complete
- ✅ Returns rendered DOM: Gets actual content after JavaScript execution
- ✅ Not raw HTML source: Uses browser's rendered output
- ✅ Includes dynamic elements: Captures content inserted by React, Vue, Angular, etc.
Infinite Scroll Support:
- ✅ Scrolls to bottom: Triggers lazy-loading mechanisms
- ✅ Detects new content: Monitors page height changes
- ✅ Smart waiting: Exits early when content loads
- ✅ Multiple fallbacks: Keyboard scroll if JavaScript fails
Perfect for:
- Single Page Applications (React, Vue, Angular)
- Infinite scroll feeds (Twitter, Facebook, LinkedIn)
- Lazy-loaded images and content
- AJAX-powered content (search results, filters)
- Dynamic dashboards and admin panels
Tips for best results:
- Default
scrolls: 5works well for most pages with lazy-loaded content - Increase
scrollsto 10-15 for very long infinite scroll pages - Set
scrolls: 0to disable scrolling for static pages - Use
scrollWaitTimeof 1000-3000ms for slow-loading content (default: 1000ms) - Increase
initialWaitTimeto 5000+ if page has heavy initialization - For SPAs, allow time for initial JavaScript bootstrap
- Use
cleanup: trueto extract only meaningful text content without scripts, styles, and visual elements - Use
cleanup: false(default) to get the full rendered HTML
MCP Client Configuration
Add to your MCP client configuration (e.g., Claude Desktop):
{
"mcpServers": {
"digest": {
"command": "node",
"args": ["/path/to/digest-mcp/build/index.js"],
"env": {
"BROWSERLESS_API_KEY": "your_api_key_here"
}
}
}
}
License
ISC
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.