Website Scraper MCP Server
网站抓取工具
用于抓取网站并将 HTML 转换为 Markdown 的命令行工具和 MCP 服务器。
特征
使用 Mozilla 的Readability库(与 Firefox 的 Reader View 使用的引擎相同)从网页中提取有意义的内容
使用 TurndownService 将干净的 HTML 转换为高质量的 Markdown
通过删除潜在有害的脚本标签来安全地处理 HTML
既可用作命令行工具,又可用作 MCP 服务器
支持本地HTML文件直接转换为Markdown
Related MCP server: superFetch MCP Server
安装
# Install dependencies
npm install
# Build the project
npm run build
# Optionally, install globally
npm install -g .用法
CLI模式
# Print output to console
scrape https://example.com
# Save output to a file
scrape https://example.com output.md
# Convert a local HTML file to Markdown
scrape --html-file input.html
# Convert a local HTML file and save output to a file
scrape --html-file input.html output.md
# Show help
scrape --help
# Or run via npm script
npm run start:cli -- https://example.comMCP 服务器模式
该工具可用作模型上下文协议(MCP)服务器:
# Start in MCP server mode
npm start代码结构
src/index.ts- 核心功能和 MCP 服务器实现src/cli.ts- 命令行界面实现src/data_processing.ts- HTML 到 Markdown 的转换功能
API
该工具导出以下功能:
// Scrape a website and convert to Markdown
import { scrapeToMarkdown } from './build/index.js';
// Convert HTML string to Markdown directly
import { htmlToMarkdown } from './build/data_processing.js';
async function example() {
// Web scraping
const markdown = await scrapeToMarkdown('https://example.com');
console.log(markdown);
// Direct HTML conversion
const html = '<h1>Hello World</h1><p>This is <strong>bold</strong> text.</p>';
const md = htmlToMarkdown(html);
console.log(md);
}执照
国际学习中心
Available Tools
1 toolscrape-to-markdownD
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
scrape-to-markdown
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'scrape-to-markdown' stands alone with no other tools to confuse it with.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'scrape-to-markdown' follows a clear verb-noun pattern, and there are no other tools to deviate from this pattern.
A single tool for a 'Website Scraper MCP Server' is too few for the apparent scope, as scraping typically involves multiple operations like configuring, parsing, or handling errors. This minimal set feels incomplete and thin for the domain.
The tool set is severely incomplete for a scraping server. It lacks essential operations such as fetching URLs, handling different content types, error management, or data extraction beyond markdown. This single tool creates significant gaps that will cause agent failures in real-world scraping tasks.
Maintenance
Related MCP Connectors
Hosted MCP server: convert PDFs to clean, LLM-ready Markdown with tables, formulas and OCR.
Document-to-Markdown MCP server — convert PDF, Office and HTML into LLM-ready Markdown.
MCP server (stdio): fetch web pages as clean readable markdown via the AgentForge API
An MCP server that provides read access to your cloud storage providers, bank accounts and more.
Related MCP Servers
- FlicenseNot gradedqualityNot gradedmaintenanceAn MCP server for web content extraction that converts HTML pages into clean, LLM-optimized Markdown using Mozilla's Readability. It supports batch processing, intelligent multi-page crawling, and configurable caching while respecting robots.txt standards.69 npm-
- AlicenseAqualityCmaintenanceAn MCP server that fetches web pages and extracts clean, AI-friendly Markdown content using Mozilla Readability. It provides secure web access for LLMs with built-in SSRF protection and automated content cleaning for improved context retrieval and summarization.190 npmMIT
- AlicenseNot gradedqualityDmaintenanceAn MCP server that scrapes content from web pages, including JavaScript-heavy sites, and converts it into high-quality Markdown. It leverages Playwright for headless browser automation and Pypandoc for clean content conversion.Apache 2.0
- AlicenseNot gradedqualityFmaintenanceAn MCP server that extracts clean Markdown or HTML content from web pages by stripping away ads, navigation, and clutter. It offers tools to process URLs or raw HTML, returning structured metadata alongside the main article content.2MIT