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Recently, at Baidu Create Developer Conference, Baidu founder Robin Li announced a series of significant AI development plans and initiatives, actively embracing the booming era of AI applications and providing comprehensive support for developers. The Baidu Search Open Platform officially launched the "AI Open Program" (sai.baidu.com), aiming to provide users with more comprehensive AI services by establishing diverse content and service distribution mechanisms. This program will target various forms such as intelligent agents, H5, mini-programs, and independent Apps.

With the rapid advancement of generative AI technology, the video creation field is experiencing a new wave of transformation. Pixverse, a leading platform in AI video generation, recently launched the Model Context Protocol (MCP), providing users and developers with a more efficient and flexible video generation solution. What is MCP? Unlocking new ways to generate AI videos. Pixverse's MCP (Model Context Protocol) is specifically designed for AI video generation...

This tool facilitates seamless interaction between Claude and WeChat Reading notes, enabling a deeper integration of AI and reading experiences. It allows for efficient processing and analysis of reading materials, enhancing comprehension and knowledge retention.

On April 24th, Tencent Cloud announced an upgrade to its CodeBuddy code assistant, introducing the Craft software development AI agent. This innovative tool evolves AI programming from 'code completion' to 'project delivery,' significantly boosting software development efficiency. According to Tencent Cloud, developers using Craft see an average coding time reduction of over 40%, with AI-generated code accounting for over 40% of their projects, resulting in a more than 16% increase in development efficiency.

Baidu has officially released Xinxiang, a mobile application featuring multi-agent collaboration. The Android version is already available, with the iOS version expected soon. Positioned as a general-purpose super AI agent, the app aims to intelligently address complex user needs in daily life.

Minecraft's appeal largely stems from its high degree of customizability, with plugins being central to this. However, the community-driven plugin ecosystem, while offering endless possibilities, also harbors security risks. Malicious code, backdoors, or plugins with critical vulnerabilities can ruin a server administrator's hard work. Now, a new tool called MCPSCAN.AI leverages artificial intelligence to address the security challenges within the vast Minecraft plugin landscape.

ByteDance's AI-powered Integrated Development Environment (IDE), Trae, has officially released version v1.3.0. This update brings a unified conversational experience, enhanced contextual capabilities, custom rule support, and significantly upgraded Agent functionality. It also adds support for the Model Context Protocol (MCP), providing developers with a more intelligent and flexible programming experience. The following report, compiled from publicly available information, details the highlights of Trae v1.3.0.

mcp-agent is officially released. As a lightweight framework based on the Model Context Protocol (MCP), it aims to provide developers with a simplified solution for building intelligent agent applications. This framework not only seamlessly integrates with other MCP services but also boasts high composability and customizability, allowing developers to focus on core business logic implementation without being bogged down by complex system architecture. mcp-agent is designed to be simple and efficient, removing redundant modules found in traditional frameworks to provide a lightweight experience.

The Xcode MCP (Model Context Protocol) project has recently been open-sourced, revolutionizing iOS development within Visual Studio Code (VS Code) and Cursor. According to AIbase, this tool extends Xcode's functionality to lightweight editors via the MCP protocol, supporting virtual machine startup, log retrieval, project management, and simulator control, significantly improving development efficiency and flexibility. The project is available at...

Imagine you've painstakingly trained a brilliant AI large model capable of handling complex tasks. However, if the pipeline to this intelligent brain—the Model Context Protocol (MCP)—is insecure, you've left an opening for hackers. Don't worry! Created by blockchain security experts SlowMist, the MCP Security Checklist acts as a professional AI 'shield' providing enhanced security for MCP-based AI tools.

ByteDance's technology team announced that its new AI collaborative workspace, "Coze Space", is officially opening beta testing. Coze Space aims to be the optimal place for users to collaborate with AI Agents, providing comprehensive services ranging from answering questions to solving problems, helping users work more efficiently.

Blender-MCP (Model Context Protocol) has been officially open-sourced, enabling seamless integration of Anthropic's Claude AI with Blender. This breakthrough allows users to create complex 3D scenes using natural language prompts. According to AIbase, the tool allows users to generate sophisticated 3D models with text descriptions alone, such as a scene depicting a low-poly dragon guarding treasure, significantly lowering the technical barrier to entry for 3D modeling. Blender-MCP

In Chengdu's sunny April, a significant breakthrough in China's AI technology development was quietly unveiled. The 2025 Tencent Global Digital Ecosystem Summit Chengdu Conference grandly opened on April 18th, with Wang Wei, Tencent Cloud Intelligent Regional Solution Director, delivering exciting news: Tencent Cloud's large model knowledge engine has become the industry's first platform to officially integrate with MCP. This technological breakthrough means developers and enterprise users will enjoy an unprecedentedly convenient experience when building AI applications. Through Tencent Cloud's large model knowledge engine, users can easily access...

The open-source community recently welcomed a heavyweight tool – FastAPI-MCP. This near zero-configuration tool automatically converts FastAPI application interfaces into Model Context Protocol (MCP) tools, opening a new path for seamless interaction between AI models and backend services. According to AIbase, FastAPI-MCP has quickly gained popularity among developers for its ease of use and high flexibility, finding widespread application in AI-driven automation scenarios. The project is now open-source; source code available.