- A Fast Website Reader MCP
A Fast Website Reader MCP
A Markdown Content Preprocessor that fetches web pages, strips noise, and converts content to clean Markdown while preserving links. Designed for with minimal token footprint so entire pages can be read at once. Crawl and scrape webpage and whole sites locally with minimal dependencies.
Content
A Fast Website Reader MCP
Fetches web pages, strips noise, and converts content to clean Markdown while preserving links. Designed for LLM pipelines with minimal token footprint. Crawl sites locally with minimal dependencies.
MCP Server Configuration
This tool can be used as an MCP (Model Context Protocol) server with Claude Desktop, Cursor, VS Code, and other compatible clients.
Installation
Claude Code
claude mcp add read-website-fast -- npx -y github:just-every/mcp-read-website-fast serve
VS Code
code --add-mcp '{"name":"read-website-fast","command":"npx","args":["-y","github:just-every/mcp-read-website-fast","serve"]}'
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=read-website-fast&config=eyJyZWFkLXdlYnNpdGUtZmFzdCI6eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsImdpdGh1YjpqdXN0LWV2ZXJ5L21jcC1yZWFkLXdlYnNpdGUtZmFzdCIsInNlcnZlIl19fQ==
JetBrains IDEs
Settings → Tools → AI Assistant → Model Context Protocol (MCP) → Add
Choose “As JSON” and paste:
{"command":"npx","args":["-y","github:just-every/mcp-read-website-fast","serve"]}
Or, in the chat window, type /add and fill in the same JSON—both paths land the server in a single step. 
Raw JSON (works in any MCP client)
{
"mcpServers": {
"read-website-fast": {
"command": "npx",
"args": ["-y", "github:just-every/mcp-read-website-fast", "serve"]
}
}
}
Drop this into your client’s mcp.json (e.g. .vscode/mcp.json, ~/.cursor/mcp.json, or .mcp.json for Claude).
Features
- Content extraction using Mozilla Readability (same as Firefox Reader View)
- HTML to Markdown conversion with Turndown + GFM support
- Smart caching with SHA-256 hashed URLs
- Polite crawling with robots.txt support and rate limiting
- Concurrent fetching with configurable depth crawling
- Stream-first design for low memory usage
- Link preservation for knowledge graphs
- Optional chunking for downstream processing
Available Tools
read_website_fast- Fetches a webpage and converts it to clean markdown- Parameters:
url(required): The HTTP/HTTPS URL to fetchdepth(optional): Crawl depth (0 = single page)respectRobots(optional): Whether to respect robots.txt
- Parameters:
Available Resources
read-website-fast://status- Get cache statisticsread-website-fast://clear-cache- Clear the cache directory
Development Usage
Install
npm install
npm run build
Single page fetch
npm run dev fetch https://example.com/article
Crawl with depth
npm run dev fetch https://example.com --depth 2 --concurrency 5
Output formats
# 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
CLI Options
-d, --depth <number>- Crawl depth (0 = single page, default: 0)-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)
Clear cache
npm run dev clear-cache
Architecture
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
Development
# 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
License
MIT
Server Config
{
"mcpServers": {
"read-website-fast": {
"command": "npx",
"args": [
"-y",
"github:just-every/mcp-read-website-fast",
"serve"
]
}
}
}Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
ChatWiseThe second fastest AI chatbot™
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
Serper MCP ServerA Serper MCP Server
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
CursorThe AI Code Editor
Playwright McpPlaywright MCP server
Tavily Mcp
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题;
Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
WindsurfThe new purpose-built IDE to harness magic
Y GuiA web-based graphical interface for AI chat interactions with support for multiple AI models and MCP (Model Context Protocol) servers.
Amap Maps高德地图官方 MCP Server
RedisA Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.
DeepChatYour AI Partner on Desktop