mcp-universal-crawler
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-universal-crawlersearch for vintage car images and save the top 3"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
🕷️ Universal Web Crawler MCP (SSE Version)
让 Claude 拥有“眼睛”和“手”,自动去互联网上搜索、筛选并下载图片。
这是一个基于 MCP (Model Context Protocol) 标准构建的通用图片爬虫工具。不同于普通的爬虫脚本,它是一个智能体工具——这意味着你不需要写代码,只需要用自然语言告诉 AI 你想要什么,它就会自动去办。
✨ 核心亮点
👀 全自动闭环:输入一句话(如“找点赛博朋克风格的壁纸”) -> AI 自动搜索 -> 智能评分筛选 -> 自动下载。
🧠 智能评分:内置评分系统,自动识别高质量来源(如优先爬取 .edu 或专业设计网站)。
🔌 SSE 架构:采用标准的 Server-Sent Events 协议,支持 HTTP 远程调用,部署更灵活。
🛡️ 隐私安全:代码开源,数据存储在本地,不经过第三方服务器。
Related MCP server: agentic-researcher
🛠️ 快速开始
1. 环境准备
确保你的电脑上安装了:
2. 下载与安装
打开终端(Terminal / CMD),依次运行以下命令:
# 1. 克隆项目到本地
git clone [https://github.com/yywl07/mcp-universal-crawler.git](https://github.com/yywl07/mcp-universal-crawler.git)
cd mcp-universal-crawler
# 2. (推荐) 创建虚拟环境 - 防止污染你电脑的其他设置
python -m venv venv
# macOS/Linux 激活:
source venv/bin/activate
# Windows 激活:
venv\Scripts\activate
# 3. 安装项目依赖
pip install -r requirements.txtThis server cannot be deployed
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