引言 随着软件行业进入智能体时代，开发者和架构师面临着一个熟悉的挑战。正如微服务的兴起需要标准化的通信模式，如REST和gRPC，专业AI智能体的激增需要一个强大的框架，使它们能够有效地发现、通信和协作。

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Google’s Chrome team previews WebMCP, a proposed web standard that lets websites expose structured tools for AI agents instead of relying on screen scraping.

Wiremo announces API access for GTrack Local Rank Checker, enabling Business and Pro plan customers to programmatically ...

A comprehensive toolkit for working with the Model Context Protocol (MCP), providing seamless integration between AI agents and various data sources, APIs, and services. Whether you're building, ...

What if coding felt less like troubleshooting and more like orchestrating a symphony? With Google’s latest innovation, the Chrome DevTools MCP, that vision is closer to reality than ever. This new ...

What if integrating powerful AI tools into your workflows was as simple as plugging in a USB drive? For years, developers have wrestled with the complexities of connecting large language models (LLMs) ...

Learn how to set up MCP in Figma the easy way—without writing a single line of code. In this tutorial, I’ll walk you through the entire process using the Claude Desktop Extension so you can get ...

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 ...

Thinking about learning Python? It’s a pretty popular language these days, and for good reason. It’s not super complicated, which is nice if you’re just starting out. We’ve put together a guide that ...

In this tutorial, we’ll explore how to implement OAuth 2.1 for MCP servers step by step. To keep things practical, we’ll build a simple finance sentiment analysis server and secure it using Scalekit, ...