Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Hosted Crawleo MCP (remote streamable HTTP endpoint).
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
Authorization你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
在终端中运行这条命令
claude mcp add --transport http crawleo https://api.crawleo.dev/mcp --header 'Authorization: your-value'运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"crawleo": {
"url": "https://api.crawleo.dev/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"crawleo": {
"type": "http",
"url": "https://api.crawleo.dev/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
你的选择通过 Cookie 保存在这台设备上,无需账户。
Authorization HTTP header这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 Crawleo 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(1.0.0)于10个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Spec Driven Development, Remote Desktop Commander, sync. labs
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Lipsync videos, dub them into other languages, make talking videos and open sync. Studio.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Real-time web search and crawling capabilities for AI assistants through Model Context Protocol (MCP).
Crawleo MCP enables AI assistants to access live web data through two powerful tools:
✅ Real-time web search from any country/language ✅ Multiple output formats - Enhanced HTML, Raw HTML, Markdown, Plain Text ✅ Device-specific results - Desktop, mobile, or tablet view ✅ Deep content extraction with JavaScript rendering ✅ Zero data retention - Complete privacy ✅ Auto-crawling option for search results
Install globally via npm:
npm install -g crawleo-mcp
Or use npx without installing:
npx crawleo-mcp
git clone https://github.com/Crawleo/Crawleo-MCP.git
cd Crawleo-MCP npm install npm run build
Build and run using Docker:
# Build the image
docker build -t crawleo-mcp .
docker run -e CRAWLEO_API_KEY=your_api_key crawleo-mcp
Docker configuration for MCP clients:
{
"mcpServers": { "crawleo": { "command": "docker", "args": ["run", "-i", "--rm", "-e", "CRAWLEO_API_KEY=YOUR_API_KEY_HERE", "crawleo-mcp"] } } }
Use the hosted version at https://api.crawleo.dev/mcp - see configuration examples below.
sk_)After installing via npm, configure your MCP client to use the local server:
Claude Desktop / Cursor / Windsurf (Local):
{
"mcpServers": { "crawleo": { "command": "npx", "args": ["crawleo-mcp"], "env": { "CRAWLEO_API_KEY": "YOUR_API_KEY_HERE" } } } }
Or if installed globally:
{
"mcpServers": { "crawleo": { "command": "crawleo-mcp", "env": { "CRAWLEO_API_KEY": "YOUR_API_KEY_HERE" } } } }
From cloned repository:
{
"mcpServers": { "crawleo": { "command": "node", "args": ["/path/to/Crawleo-MCP/dist/index.js"], "env": { "CRAWLEO_API_KEY": "YOUR_API_KEY_HERE" } } } }
Location of config file:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.json~/.config/Claude/claude_desktop_config.jsonConfiguration:
{
"mcpServers": { "crawleo": { "url": "https://api.crawleo.dev/mcp", "transport": "http", "headers": { "Authorization": "Bearer YOUR_API_KEY_HERE" } } } }
Replace YOUR_API_KEY_HERE with your actual API key from crawleo.dev.
Steps:
Example usage:
"Search for the latest AI news and summarize the top 5 articles"
"Find Python web scraping tutorials and extract code examples"
Location of config file:
~/.cursor/config.json or ~/Library/Application Support/Cursor/config.json%APPDATA%\Cursor\config.json~/.config/Cursor/config.jsonConfiguration:
{
"mcpServers": { "crawleo": { "url": "https://api.crawleo.dev/mcp", "transport": "http", "headers": { "Authorization": "Bearer YOUR_API_KEY_HERE" } } } }
Steps:
Example usage in Cursor:
"Search for React best practices and add them to my code comments"
"Find the latest documentation for this API endpoint"
Location of config file:
~/Library/Application Support/Windsurf/config.json%APPDATA%\Windsurf\config.json~/.config/Windsurf/config.jsonConfiguration:
{
"mcpServers": { "crawleo": { "url": "https://api.crawleo.dev/mcp", "transport": "http", "headers": { "Authorization": "Bearer YOUR_API_KEY_HERE" } } } }
Steps:
Location of config file:
For GitHub Copilot in VS Code or compatible editors, you need to configure MCP servers.
Configuration:
Create or edit your MCP config file and add:
{
"servers": { "Crawleo": { "url": "https://api.crawleo.dev/mcp", "transport": "http", "headers": { "Authorization": "Bearer YOUR_API_KEY_HERE" } } } }
Complete example with multiple servers:
{
"servers": { "Crawleo": { "url": "https://api.crawleo.dev/mcp", "transport": "http", "headers": { "Authorization": "Bearer YOUR_API_KEY_HERE" } } } }
Steps:
Example usage:
Ask Copilot: "Search for the latest Python best practices"
Ask Copilot: "Find documentation for this library"
OpenAI now supports MCP servers directly! Here's how to use Crawleo with OpenAI's API:
Python Example:
from openai import OpenAI
client = OpenAI()
response = client.responses.create( model="gpt-4", input=[ { "role": "user", "content": [ { "type": "input_text", "text": "search for latest news about openai models" } ] } ], text={ "format": { "type": "text" }, "verbosity": "medium" }, reasoning={ "effort": "medium" }, tools=[ { "type": "mcp", "server_label": "Crawleo", "server_url": "https://api.crawleo.dev/mcp", "server_description": "Crawleo MCP Server - Real-Time Web Knowledge for AI", "authorization": "YOUR_API_KEY_HERE", "allowed_tools": [ "web.search", "web.crawl" ], "require_approval": "always" } ], store=True, include=[ "reasoning.encrypted_content", "web_search_call.action.sources" ] )
print(response)
Key Parameters:
server_url - Crawleo MCP endpointauthorization - Your Crawleo API keyallowed_tools - Enable web.search and/or web.crawlrequire_approval - Set to "always", "never", or "conditional"Node.js Example:
import OpenAI from 'openai';
const client = new OpenAI();
const response = await client.responses.create({ model: 'gpt-4', input: [ { role: 'user', content: [ { type: 'input_text', text: 'search for latest AI developments' } ] } ], tools: [ { type: 'mcp', server_label: 'Crawleo', server_url: 'https://api.crawleo.dev/mcp', server_description: 'Crawleo MCP Server - Real-Time Web Knowledge for AI', authorization: 'YOUR_API_KEY_HERE', allowed_tools: ['web.search', 'web.crawl'], require_approval: 'always' } ] });
console.log(response);
Search the web in real-time with customizable parameters.
Parameters:
query *(required)* - Search termmax_pages - Number of result pages (default: 1)setLang - Language code (e.g., "en", "ar")cc - Country code (e.g., "US", "EG")device - Device type: "desktop", "mobile", "tablet" (default: "desktop")enhanced_html - Get clean HTML (default: true)raw_html - Get raw HTML (default: false)markdown - Get Markdown format (default: true)page_text - Get plain text (default: false)auto_crawling - Auto-crawl result URLs (default: false)Example:
Ask your AI: "Search for 'Python web scraping' and return results in Markdown"
Extract content from specific URLs.
Parameters:
urls *(required)* - List of URLs to crawlrawHtml - Return raw HTML (default: false)markdown - Convert to Markdown (default: false)screenshot - Capture screenshot (optional)country - Geographic locationExample:
Ask your AI: "Crawl https://example.com and extract the main content in Markdown"
sk_)authorization fieldMake sure you're using the correct tool names:
web.search (not search_web)web.crawl (not crawl_web)"Search for recent developments in quantum computing and summarize the key findings"
"Search for competitor pricing pages and extract their pricing tiers"
"Find the official documentation for FastAPI and extract the quickstart guide"
"Search for today's news about artificial intelligence from US sources"
"Search for customer reviews of iPhone 15 and analyze sentiment"
Crawleo MCP uses the same affordable pricing as our API:
Check your usage and manage your subscription at crawleo.dev
✅ Zero data retention - We never store your search queries or results ✅ Secure authentication - API keys transmitted over HTTPS ✅ No tracking - Your usage patterns remain private
只显示了开头部分;其余内容请在仓库中阅读