The MCP protocol, short for “Model Context Protocol,” has shown remarkable momentum since the release of its first version in November 2024. Although it has been around for a short time, it has already demonstrated a “peak from the start” trend. The problems it aims to solve are not complex, but its core concepts and … Read more
Previously, I experimented with controlling an LED display, local server deployment, voice broadcasting, song playback, controlling WS2812 LED strips, custom wake words, and collecting temperature and humidity data; today I will share a simple exploration of MCP from yesterday.; 1. First, let’s take a look at the final implementation effect: 2. Reference Protocol:3. Now let’s … Read more
Click the blue text to follow me for more AI insights~Paying tribute to the extraordinary, honoring the ordinary MultiAgentPPT is an intelligent presentation generation system that integrates A2A (Ask-to-Answer) + MCP (Multi-agent Control Protocol) + ADK (Agent Development Kit) architecture, supporting multi-agent collaboration and streaming concurrency mechanisms. https://github.com/johnson7788/MultiAgentPPT MultiAgentPPT A multi-agent system based on A2A … Read more
Recently, Crab has been learning about AI Agents, reading some books and purchasing online courses. However, most of them are conceptual or no-code AI Agents, while Crab needs a coded AI Agent, not one that simply configures settings using low-code platforms. What is an AI Agent? The image above illustrates the relationship of AI Agents … Read more
Author | Sergio De SimoneTranslator | Liu Yameng Recently, Anthropic introduced support for connecting to remote MCP servers in Claude Code, allowing developers to integrate external tools and resources without the need for manual local server setup. This new feature makes it easier for developers to obtain context from their existing tools, including security services, … Read more
Baidu Search has released a 63-page paper titled “Towards an AI Search Paradigm”, introducing a modular, multi-agent (Multi-Agent) framework that reimagines how we search for information in the era of large language models (LLMs).đ Unlike traditional retrieval-based search or linear RAG pipelines, this new paradigm coordinates four specialized LLM agentsâSupervisor, Planner, Executor, and Writerâto handle … Read more
Welcome to the reading! đ The Model Context Protocol (MCP) has recently gained significant attention. MCP is an open standard designed to help AI applicationsâespecially large language models (LLMs)âconnect more easily to external data sources and tools. This article will clearly outline some key points about MCP. Why was MCP created? In traditional scenarios, connecting … Read more
As AI enters the “usable stage,” how can we build a truly efficient, flexible, and controllable intelligent agent system? Relying solely on a “smart large model” is clearly not enough. For genuinely complex tasks, a clearly defined “team operation” is essential. The Multi-Agent-Manus (MCP process) has emerged, which is not just a simple execution chain … Read more
With the rapid development of artificial intelligence (<span>AI</span>), efficient communication between AI assistants and applications has become particularly important. The Model Context Protocol (<span>MCP</span>, abbreviated as <span>MCP</span>) has emerged to provide a standardized interface for large language models (<span>LLMs</span>) to interact with external data sources and tools. Among the many features of <span>MCP</span>, the <span>Streamable … Read more
Written by: Zeping Macro TeamArtificial Intelligence (AI)has greatly expanded its application boundaries and capabilities, from perceptual AI, which excels in image and speech recognition, to generative AI, which has recently been able to generate various types of content such as text and images. Currently, large language models like Deepseek and ChatGPT have profoundly changed the … Read more