Imagine a world where your AI tools don’t just work for you but work with each other—seamlessly, intelligently, and without the frustration of endless custom integrations. This isn’t a distant dream; ...

Anthropic recently released their Model Context Protocol (MCP), an open standard describing a protocol for integrating external resources and tools with LLM apps. The release includes SDKs ...

点击上方“Deephub Imba”,关注公众号,好文章不错过 !Model Context Protocol 是一个开放标准，它的目标是给 LLM 一种干净、统一的方式去发现和调用外部工具。不用再写自定义解析、不用再维护脆弱的胶水代码，就是一个好用的协议。大多数 MCP 教程上来就讲 JSON-RPC 规范、传输层协议，搞得很复杂。其实用 MCP ...

As AI agents begin operating across enterprise systems, MCP is emerging as the connective layer IT leaders can’t afford to ignore.

Microsoft Corp. believes we’re headed toward a future where artificial intelligence-powered agents will become pervasive in enterprise computing environments, so today it’s making it easier for those ...

What if the next generation of AI systems could not only understand context but also act on it in real time? Imagine a world where large language models (LLMs) seamlessly interact with external tools, ...

The past ten years have seen incredible advancements in the realm of Artificial Intelligence, but paradoxically, some of the most overt shortcomings of AI are still based not on intelligence but on ...

Anthropic’s model context protocol (MCP), the ‘plug-and-play bridge for LLMs and AI agents’ to connect with external tools, has received a major update one year after its launch. The developer of ...

An interface between an AI language model and external sources such as a database. The Model Context Protocol server (MCP server) determines what the model can access. The MCP client, typically an AI ...

Making inherently probabilistic and isolated large language models (LLMs) work in a context-aware, deterministic way to take real-world decisions and actions has proven to be a hard problem. As we ...