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Source channel @githubtrending · Post #14793 · Jun 5

#python#agents#ai#ai_agents#llm#llms#mcp#model_context_protocol#python The Model Context Protocol (MCP) is a standard way for AI agents to connect with different tools and data sources, making it much easier to build powerful AI applications without writing custom code for each integration[2][5]. The mcp-agent framework uses MCP to let you quickly create agents that can do things like read files, fetch web pages, or manage emails, and you can combine these agents in flexible ways to handle complex tasks. This means you can focus on what you want your AI to do, while mcp-agent takes care of connecting to the right tools and managing the workflow, saving you time and effort[3][5]. https://github.com/lastmile-ai/mcp-agent

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@android_mod_featured · Post #1147 · 11/01/2024, 06:46 PM

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@kejiqu · Post #3648 · 07/19/2025, 01:01 AM

谷歌推出“Gemini Drops”,新增生产力规划师 Gem 谷歌宣布推出“Gemini Drops”功能更新,效仿Pixel和Workspace,为其生成式人工智能模型带来新功能。此次更新的重点是“生产力规划师 Gem”,旨在提升用户的工作效率。此次更新标志着Gemini正式加入了定期功能更新的行列。9to5Google 🏷#Gemini#Drops#生产力规划师#Gem#更新 📢频道👥群组📝投稿

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