ZeroCrawl MCP
ZeroCrawl MCP is a 100% free web crawling and scraping server for AI agents, offering tools like page scraping, domain crawling, metadata extraction, screenshots, sitemap parsing, batch scraping, and search-and-crawl. It requires no API keys and integrates with Claude Desktop, Cursor, and other MCP clients.
README
<div align="center"> <img src="assets/logo.png" width="160" height="160" alt="ZeroCrawl MCP Logo" /> <h1>ZeroCrawl MCP — 100% Free Web Crawling & Scraping MCP Server</h1> <p><em>Zero-budget, no-API-key web scraping and content extraction for Claude Desktop, Cursor, and AI Agents built with Google Antigravity CLI.</em></p>
🚀 1-Click Deploy
Deploy your own private instance of ZeroCrawl in seconds:
📖 Overview
ZeroCrawl MCP is a 100% free forever web crawling and scraping server designed for the Model Context Protocol (MCP). It allows AI agents, LLM tools, and IDEs like Claude Desktop and Cursor to navigate the web with zero budget. It requires no paid API keys and operates seamlessly within the limits of Vercel's Free Tier.
🛠 Available Tools
| Tool Name | Parameters | Description | Output Format |
|---|---|---|---|
scrape_page |
url (string) |
Fetches URL, cleans DOM with Readability, converts to Markdown, auto-fallback to Jina Reader on 403/SPA. | Markdown |
crawl_domain |
startUrl (string), maxPages (number), maxDepth (number) |
Recursive same-domain link crawler with depth control and concurrency caps. | JSON |
extract_metadata |
url (string) |
Structured OpenGraph, Twitter Cards, schema JSON-LD, and canonical data. | JSON |
get_screenshot_and_media |
url (string) |
High-res full-page screenshot URL via Microlink + image URL extraction with alt tags. | JSON |
parse_sitemap |
domainUrl (string) |
XML sitemap and sitemap index parser. | JSON |
batch_scrape |
urls (string[]) |
Concurrent multi-URL scraping engine. | Array of Markdown |
search_and_crawl |
query (string), limit (number) |
Fetch web search results and concurrently scrape each target link. | JSON |
<img src="https://upload.wikimedia.org/wikipedia/commons/2/21/Vercel_logo.svg" width="20" height="20" alt="Vercel" /> Installation & Setup
We highly recommend utilizing our 1-Click Autonomous Agent Setup to completely eliminate manual configuration.
<img src="https://img.shields.io/badge/AI_Agent_Setup-000000?style=for-the-badge&logo=openai&logoColor=white" alt="AI Agent Setup" />
Don't want to configure this manually? Copy and paste the prompt below directly into your AI coding assistant (like Cursor, Windsurf, or Google Antigravity). Your AI will autonomously install, configure, and deploy the ZeroCrawl MCP server for you!
Copy & Paste this into your AI Agent:
Please install, configure, and deploy the ZeroCrawl MCP Server to my Vercel account. Execute these exact steps sequentially: 1. Run `git clone https://github.com/AgentNex/zerocrawl-mcp.git` and `cd zerocrawl-mcp`. 2. Run `npm install` to install all necessary packages. 3. Copy `.env.example` to `.env` and generate a secure random string for `AUTH_TOKEN`. 4. Run `npx vercel link --yes` to link the project to my Vercel account. 5. Deploy the project to production by running `npx vercel deploy --prod`. 6. Once successfully deployed, please configure my local MCP settings (in Claude Desktop or Cursor) to point to the new Vercel production URL at the `/api/mcp` endpoint using the `AUTH_TOKEN` you generated.
<img src="https://img.shields.io/badge/Architecture-1E293B?style=for-the-badge&logo=amazonaws&logoColor=white" alt="Architecture" /> Performance Breakdown
ZeroCrawl is built from the ground up to operate within the constraints of Vercel's Free Tier:
- Sub-9s Timeout Safeguards: Operations automatically gracefully downgrade or return partial data to prevent serverless timeouts.
- In-Memory TTL Caching Layer: Eliminates redundant fetching and scraping by returning instant responses for recent queries within a 10-minute window.
- Zero-Chromium Architecture: Bypasses the need for heavy headless browsers. It leverages smart HTTP fetchers, DOM cleanup with Mozilla's Readability, and Turndown for clean Markdown generation. For complex SPAs or blocks, it automatically falls back to Jina Reader APIs.
📄 License
MIT License (2026). See LICENSE for details.
推荐服务器
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。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。