WebWatch MCP
Website change monitoring with URL watching, snapshot comparison, and intelligent content extraction for AI assistants
🔍 WebWatch MCP
A Model Context Protocol (MCP) server for monitoring website changes. Track URLs, detect content changes, compare snapshots, and extract content with CSS selectors — all from your AI assistant.
Features
- Watch URLs — Monitor any webpage for content changes
- CSS Selectors — Track specific elements (prices, headlines, stock info)
- Snapshot History — SQLite-backed storage of every page state
- Diff Detection — See exactly what changed, line by line
- Content Extraction — Pull structured data from any page on demand
Tools
| Tool | Description |
|---|---|
watch_url | Add a URL to the watch list with optional CSS selector and label |
list_watches | List all monitored URLs with status and statistics |
check_now | Fetch a URL now, compare to previous snapshot, return diff |
get_changes | Browse change history for one or all watched URLs |
compare_snapshots | Compare any two snapshots side-by-side |
extract_content | One-off content extraction with CSS selectors |
Installation
# Clone and build
git clone https://github.com/leviai-tools/webwatch-mcp.git
cd webwatch-mcp
npm install
npm run build
# Or install globally
npm install -g @leviai/webwatch-mcp
Usage with Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"webwatch": {
"command": "node",
"args": ["/path/to/webwatch-mcp/build/index.js"],
"env": {
"WEBWATCH_DATA_DIR": "/path/to/data/dir"
}
}
}
}
Or if installed globally:
{
"mcpServers": {
"webwatch": {
"command": "webwatch-mcp"
}
}
}
Environment Variables
| Variable | Default | Description |
|---|---|---|
WEBWATCH_DATA_DIR | ~/.webwatch-mcp | Directory for SQLite database |
Example Workflows
Monitor a pricing page
You: "Watch https://example.com/pricing — track the .pricing-table element"
→ watch_url(url, selector=".pricing-table", label="Example pricing")
You: "Check if pricing changed"
→ check_now("https://example.com/pricing")
Track competitor changes
You: "Add these competitor pages to my watchlist"
→ watch_url for each URL
You: "Show me all recent changes"
→ get_changes(limit=20)
Extract data on demand
You: "What are the headlines on HN right now?"
→ extract_content("https://news.ycombinator.com", ".titleline > a")
Data Storage
All data is stored locally in SQLite at ~/.webwatch-mcp/webwatch.db (configurable via WEBWATCH_DATA_DIR).
Tables:
watches— Monitored URLs with selectors and labelssnapshots— Page content captured at each checkchanges— Detected diffs between consecutive snapshots
Requirements
- Node.js ≥ 18.0.0
License
MIT
Похожие серверы
Bright Data
спонсорDiscover, extract, and interact with the web - one interface powering automated access across the public internet.
Intelligent Crawl4AI Agent
An AI-powered web scraping system for high-volume automation and advanced data extraction strategies.
HTTP Requests
An MCP server for making HTTP requests, enabling LLMs to fetch and process web content.
Crawl4AI RAG
Integrate web crawling and Retrieval-Augmented Generation (RAG) into AI agents and coding assistants.
SearchMCP
Connect any LLM to the internet with the cheapest, most reliable, and developer-friendly search API.
XPath MCP Server
Execute XPath queries on XML content.
Markdown Downloader
Download webpages as markdown files using the r.jina.ai service, with configurable directories and persistent settings.
powhttp-mcp
MCP server enabling agents to debug HTTP requests better
Google Flights
An MCP server to interact with Google Flights data for finding flight information.
Crawl MCP
An MCP server for crawling WeChat articles. It supports single and batch crawling with multiple output formats, designed for AI tools like Cursor.
MCP YouTube Transcript Server
Retrieves transcripts from YouTube videos for content analysis and processing.