Extract web content and convert to clean Markdown. Fast data extraction from web pages with caching, robots.txt support,
Fetch and extract information from websites automatically
Example: Research competitor pricing, scrape product reviews, monitor news mentions
Automate 5-10 hours/week of manual web research
Track website changes, new content, price updates
Example: Monitor competitor blog for new posts, track stock availability, watch for pricing changes
Stay informed without manual checking, never miss important updates
Extract structured data from multiple websites
Example: Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data
Build datasets 100x faster than manual copying
Interact with services that don't offer APIs
Example: Check form submissions, validate website functionality, test user flows
Automate interactions with any website, even without API
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Read Website Fast is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
According to our notes, Read Website Fast benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
According to our notes, Read Website Fast benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Read Website Fast is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Read Website Fast has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Useful MCP listing: Read Website Fast is the kind of server we cite when onboarding engineers to host + tool permissions.
We evaluated Read Website Fast against two servers with overlapping tools; this profile had the clearer scope statement.
Read Website Fast is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Read Website Fast is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We wired Read Website Fast into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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Claude Desktop configuration
{
"mcpServers": {
"read-website-fast": {
"command": "npx",
"args": [
"-y",
"@just-every/mcp-read-website-fast"
]
}
}
}Extracts web content and converts it to clean Markdown using Mozilla Readability, with caching and rate limiting for efficient AI workflows.
Read Website Fast is a community-built MCP server published by just-every that provides AI assistants with tools and capabilities via the Model Context Protocol. Extract web content and convert to clean Markdown. Fast data extraction from web pages with caching, robots.txt support, It is categorized under search web, productivity. This server exposes 1 tool that AI clients can invoke during conversations and coding sessions.
You can install Read Website Fast in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport. This server supports remote connections over HTTP, so no local installation is required.
Fast, token-efficient web content extraction for AI agents - converts websites to clean Markdown.
<a href="https://glama.ai/mcp/servers/@just-every/mcp-read-website-fast"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@just-every/mcp-read-website-fast/badge" alt="read-website-fast MCP server" /> </a>Existing MCP web crawlers are slow and consume large quantities of tokens. This pauses the development process and provides incomplete results as LLMs need to parse whole web pages.
This MCP package fetches web pages locally, strips noise, and converts content to clean Markdown while preserving links. Designed for Claude Code, IDEs and LLM pipelines with minimal token footprint. Crawl sites locally with minimal dependencies.
Note: This package now uses @just-every/crawl for its core crawling and markdown conversion functionality.
claude mcp add read-website-fast -s user -- npx -y @just-every/mcp-read-website-fast
code --add-mcp '{"name":"read-website-fast","command":"npx","args":["-y","@just-every/mcp-read-website-fast"]}'
cursor://anysphere.cursor-deeplink/mcp/install?name=read-website-fast&config=eyJyZWFkLXdlYnNpdGUtZmFzdCI6eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIkBqdXN0LWV2ZXJ5L21jcC1yZWFkLXdlYnNpdGUtZmFzdCJdfX0=
Settings → Tools → AI Assistant → Model Context Protocol (MCP) → Add
Choose “As JSON” and paste:
{"command":"npx","args":["-y","@just-every/mcp-read-website-fast"]}
Or, in the chat window, type /add and fill in the same JSON—both paths land the server in a single step. 
{
"mcpServers": {
"read-website-fast": {
"command": "npx",
"args": ["-y", "@just-every/mcp-read-website-fast"]
}
}
}
Drop this into your client’s mcp.json (e.g. .vscode/mcp.json, ~/.cursor/mcp.json, or .mcp.json for Claude).
read_website - Fetches a webpage and converts it to clean markdown
url (required): The HTTP/HTTPS URL to fetchpages (optional): Maximum number of pages to crawl (default: 1, max: 100)read-website-fast://status - Get cache statisticsread-website-fast://clear-cache - Clear the cache directorynpm install
npm run build
npm run dev fetch https://example.com/article
npm run dev fetch https://example.com --depth 2 --concurrency 5
# Markdown only (default)
npm run dev fetch https://example.com
# JSON output with metadata
npm run dev fetch https://example.com --output json
# Both URL and markdown
npm run dev fetch https://example.com --output both
-p, --pages <number> - Maximum number of pages to crawl (default: 1)-c, --concurrency <number> - Max concurrent requests (default: 3)--no-robots - Ignore robots.txt--all-origins - Allow cross-origin crawling-u, --user-agent <string> - Custom user agent--cache-dir <path> - Cache directory (default: .cache)-t, --timeout <ms> - Request timeout in milliseconds (default: 30000)-o, --output <format> - Output format: json, markdown, or both (default: markdown)npm run dev clear-cache
The MCP server includes automatic restart capability by default for improved reliability:
For development/debugging without auto-restart:
# Run directly without restart wrapper
npm run serve:dev
mcp/
├── src/
│ ├── crawler/ # URL fetching, queue management, robots.txt
│ ├── parser/ # DOM parsing, Readability, Turndown conversion
│ ├── cache/ # Disk-based caching with SHA-256 keys
│ ├── utils/ # Logger, chunker utilities
│ ├── index.ts # CLI entry point
│ ├── serve.ts # MCP server entry point
│ └── serve-restart.ts # Auto-restart wrapper
# Run in development mode
npm run dev fetch https://example.com
# Build for production
npm run build
# Run tests
npm test
# Type checking
npm run typecheck
# Linting
npm run lint
Contributions are welcome! Please:
npm run dev clear-cache
-t flag-u flagMIT
Time estimate: 20-40 minutes including configuration and testing
Prerequisites
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
Compatibility
✓ Use when
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid when
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.