Jupyter MCP 服务器是基于模型上下文协议（Model Context Protocol, MCP）的 Jupyter 环境扩展组件，它能够实现大型语言模型与实时编码会话的无缝集成。该服务器通过标准化的协议接口，使 AI 模型能够安全地访问和操作 Jupyter 的核心组件，包括内核管理、文件系统以及 ...

模型控制协议（Model Control Protocol, MCP）是一种专为实现AI代理与工具解耦而设计的通信协议，为AI驱动应用程序的开发提供了高度的灵活性和模块化架构。通过MCP服务器，AI代理能够动态发现并调用各种工具来响应用户请求。本文将详细介绍MCP服务器的构建过程 ...

An MCP Server is a simple program that lets AI models securely access data and tools using the Model Context Protocol (MCP). FastMCP is a Python framework that helps you build MCP servers and clients.

Building and publishing Model Context Protocol (MCP) servers is a crucial step in allowing language models to interact seamlessly with external tools and resources. These servers act as intermediaries ...

MCP Server enables AI agents to handle a full range of data-driven queries of Data Commons data sources, from initial discovery to generative reports, Google said. Looking to make public data access ...

Developer Knowledge API and Model Context Protocol server. Together connect AI agents to Google’s developer and Google Cloud documentation. Google is previewing the Developer Knowledge API and an ...