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Source channel @githubtrending · Post #14935 · Jul 9

#other#clients#mcp The Model Context Protocol (MCP) is an open standard that lets AI models easily and securely connect to different data sources and tools, making it much simpler for developers to build smart apps that can access files, databases, and APIs without custom code for each one[2][3][4]. There are many free and easy-to-use MCP clients—like desktop apps, web apps, and command-line tools—that let you quickly add new AI features and automate tasks, so you can get more done with less effort and technical hassle. This means you can use AI to help with coding, data analysis, and daily work, all while keeping your data safe and your setup flexible[2][3][4]. https://github.com/punkpeye/awesome-mcp-clients

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hackspace

@hackspace · Post #1492 · 12/07/2025, 09:54 PM

Simple liner for CVE-2025-55182 React2Shell: subfinder -dL wildcards.txt -all -recursive > subs.txt Nuclei -t CVE-2025-55182.yaml -l final.txt Add FOFA, Shodan,Zoomeye filters : vul.cve="CVE-2025-55182" , asn="REDACTED" && (app="Next.js" || app="React.js") #infosec#cybersec

Libreware

@libreware · Post #1153 · 07/05/2023, 04:07 PM

Snappy: A tool to detect rogue WiFi access points on open networks – Cybersecurity researchers have released a new tool called 'Snappy' that can help detect fake or rogue WiFi access points that attempts to steal data from unsuspecting people. Attackers can create fake access points in supermarkets, coffee shops, and malls that impersonate real ones already established at the location. This is done to trick users into connecting to the rogue access points and relay sensitive data through the attackers' devices. #Cybersec#Python #Wifi#RogueAccessPoints