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Source channel @githubtrending · Post #15116 · Sep 3

#other#ai#anthropic_claude#awesome#context#mcp#model_context_protocol#servers#tool_use#tools Model Context Protocol (MCP) is an open standard that lets AI models securely connect to various data sources and tools, like files, databases, APIs, and cloud services, to get real-time, relevant information. This helps AI give more accurate, up-to-date, and context-aware answers, reducing repeated data processing and improving efficiency. MCP also supports automation of complex workflows and integration with many platforms, making AI more powerful and flexible. However, running MCP servers requires careful security measures to avoid risks like unauthorized code execution. Using MCP can save time, reduce costs, and enhance AI capabilities for tasks like chatbots, data analysis, and system control. https://github.com/appcypher/awesome-mcp-servers

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Libreware

@libreware · Post #894 · 02/04/2021, 06:15 PM

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PCAPdroid Capture traffic on Android devices and send the PCAP via UDP without root PCAPdroid lets you capture the Android traffic and analyze it remotely (e.g. via Wireshark). The traffic can be easily captured on a remote PC via an UDP socket. 💡 Features: ✅ Capture apps traffic without root privileges ✅ Send captured traffic via UDP ✅ Download the traffic PCAP via the integrated HTTP server ✅ Show captured traffic real time statistics ✅ Apply a filter to only capture traffic for the selected app ✅ Decrypt HTTPS/TLS traffic via a remote mitmproxy https://f-droid.org/packages/com.emanuelef.remote_capture/ #PCAPdroid#android#fdroid#app

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