Model Context Protocol (MCP) 这个协议简单说就是给大语言模型接入外部数据和工具提供了一套标准化方案。MCP 统一了模型和各种数据源、工具服务之间的交互方式。 FastMCP 是目前用 Python 构建 MCP 服务器最顺手的框架，把底层那些复杂的协议实现全都封装好了，开发者 ...

作者 | 熊月，Microsoft Edge QA审校 | Kitty项目贡献成员：芈峮、佟玉、刘竞屏、王政达、熊月 开源地址：github.com/microsoft/AutoGenesis 本文为删减版，完整版见：https://www.infoq.cn/article/TLJa16KNgIXb1HB1Nvtg自动化测试之所以难以真正铺开，很多时候并不是因为团队不重视，而是因为门槛太高: 业务 ...

Unlock AI's full potential for DevOps: MCP connects models to tools/data, automating actions, enabling custom analysis and smarter cloud management. Traditionally, the main benefit that generative AI ...

【本文由小黑盒作者@SaltFish于03月02日发布，转载请标明出处！】 全文约3500字，阅读需要约10分钟 一个让人困惑的问题 你有没有想过：为什么ChatGPT能和你聊得天南海北，却不能帮你订一张机票？ 你问它"帮我订一张去上海的机票"，它只能回答：“你可以去携程或飞猪预订，记得比较价格……” 它知道怎么订机票，但做不到。 问题出在哪？

The Model Context Protocol seeks to bring a standards-based and open source approach to enterprise use of LLMs and agentic AI. The Model Context Protocol was released in late 2024, but over the past ...

Creating a custom Model Context Protocol (MCP) client using Gemini 2.5 Pro provides an opportunity to design a highly adaptable and efficient communication solution. By combining a robust backend, a ...

The Model Context Protocol (MCP) is an open source framework that aims to provide a standard way for AI systems, like large language models (LLMs), to interact with other tools, computing services, ...

What does it take to get OpenAI and Anthropic—two competitors in the AI assistant market—to get along? Despite a fundamental difference in direction that led Anthropic’s founders to quit OpenAI in ...