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Source channel @githubtrending · Post #14794 · Jun 5

#ruby The Model Context Protocol (MCP) is a way to connect AI systems with other tools and data sources securely. It helps developers build AI applications that can interact with external systems more easily. MCP uses a client-server model, allowing AI models to dynamically find and use tools without needing specific code for each integration. This makes it easier to develop and integrate AI applications, reducing the complexity and time needed for setup. Users benefit from more flexible and powerful AI tools that can work with various systems seamlessly. https://github.com/modelcontextprotocol/ruby-sdk

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@githubtrending · Post #15173 · 09/27/2025, 12:30 PM

#cplusplus#c_plus_plus#cpp#datachannel#libdatachannel#libnice#p2p#peer_to_peer#peerconnection#rfc_8831#rfc_8834#rtcdatachannel#rtcpeerconnection#sctp#webrtc#webrtc_datachannel#webrtc_video#websocket libdatachannel is a lightweight, easy-to-use C/C++ library that lets you add real-time peer-to-peer data, media, and WebSocket communication to your apps across many platforms like Linux, Windows, macOS, Android, and iOS. It simplifies WebRTC by providing a smaller, simpler alternative to Google's library, with compatibility for browsers like Firefox and Chrome. You can use it to connect native apps directly to web browsers with minimal dependencies, supporting secure connections via GnuTLS, Mbed TLS, or OpenSSL. It also supports compiling to WebAssembly for browser use, making it flexible for cross-platform real-time communication development[1][4]. This helps you build fast, efficient apps for video, audio, or data sharing without heavy libraries. https://github.com/paullouisageneau/libdatachannel