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【技术干货】用Cursor开发一款神级小程序，3分钟解救被10万个为什么轰炸的父母！

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本文详细介绍了如何通过三步打造AI育儿神器：语音转文本、大模型生成结果和结果转化为语音返回。核心技术包括使用Coze官方API转录语音为文字，选择DeepSeek-v3模型进行回答并结合用户需求调整提示词，最后利用SiliconFlow的自然语音合成技术返回答案。

用MCP手搓Agent，我在腾讯云实现AI万能插头自由

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腾讯云开发推出MCP市场和托管服务，上架了三个特色MCPServer。这些服务器涵盖图片处理、音频生成等40+功能，并支持通过空白模板构建自己的MCP Server。作者分享了如何使用腾讯元器插件能力、公众号能力及Puppeteer等功能来实现特定需求的体验。

首篇MCP技术生态全面综述：核心组件、工作流程、生命周期

作者

Model Context Protocol (MCP) is a standardized interface aimed at achieving seamless interaction between AI models and external tools and resources, breaking down data silos and enhancing interoperability across different systems. MCP’s core components include the MCP host, client, and server, working together to enable secure and efficient communication with AI applications and external data sources. It covers lifecycle stages like creation, operation, and updates of MCP servers, along with an ecosystem including key adopters such as Anthropic, OpenAI, and community-driven platforms. This protocol also discusses security threats at each stage and proposed mitigation strategies.