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Google releases the open-source tool MCP Toolbox for Databases, simplifying the integration of AI agents with SQL databases. The tool connects to a database with just 10 lines of code and supports secure mechanisms such as connection pool management, authentication, and schema introspection. It is compatible with various Google Cloud databases. As an open-source project, it lowers the development barrier, but currently mainly supports Google ecosystem databases. Future expansion of compatibility may be needed. This tool has the potential to become a standard component for AI development, driving intelligent data processing.

On July 7, the Baidu AI team announced the official release of PaddleOCR 3.1, achieving three major upgrades in multilingual recognition, complex document translation, and large model connectivity. The new version supports text recognition in 37 languages, with an average accuracy improvement of over 30%. It also introduces a document translation pipeline and MCP server functionality to help developers efficiently build AI applications. To address multilingual needs in global scenarios, PaddleOCR 3.1 adds the PP-OCRv5 multilingual model, covering 37 languages including French, Spanish, and Russian.

In the media Q&A session after today's Honor Magic V5 and AI Terminal Ecosystem Launch, Honor CEO Li Jian, CFO Peng Qiuen, and Product Line President Fang Fei had in-depth discussions with the media. During the event, Honor officially announced support for the MCP and A2A protocols, and revealed that it will collaborate deeply with partners such as Alibaba, BYD, and Midea in the fields of intelligent service ecosystem, smart vehicle networking, and smart home. Honor CEO Li Jian emphasized in the conversation that 'openness' is the core philosophy of Honor. He pointed out...

Thunder officially launched the download MCP service, claiming that users can let AI automatically complete download tasks by just saying one sentence. The service is compatible with both the PC version of Thunder and NAS Thunder, and all users can currently use it for free. It is reported that Thunder MCP has already been able to access multiple mainstream large models domestically and internationally. Applications such as Nano AI, Koala Space, Cursor, and Cherry Studio are among them. Users just need to clearly express their needs in AI applications that support MCP integration.

Zhidemai Technology announced the latest business data at its AI progress online sharing session in June. The company's standardized consumer data service platform, Haina MCP Server, built based on MCP, attracted more than 20 industry partners' cooperation invitations within just one month, showing strong market demand. Wang Yunfeng, CTO of Zhidemai Technology, introduced that Haina MCP Server integrates the company's accumulated data and content advantages in the consumer field. It has become a preferred consumer data solution for many AI products due to its richness, real-time performance, and neutrality.

Recently, an intelligent academic research tool called ScholAI has attracted widespread attention. This innovative tool, based on the Multi-Cloud Platform (MCP), integrates functions such as paper search, analysis, management, CCF ranking query, and semantic query analysis, providing researchers with an efficient and intelligent academic research solution. The AIbase editorial team has compiled the latest information from the web to provide you with a comprehensive overview of ScholAI's unique advantages and future potential. Core Features of ScholAI: One

ElevenLabs officially launched its new voice-first AI personal assistant, 11ai, marking another major breakthrough in voice AI technology for productivity tools. As a company known for innovative text-to-speech and conversational AI technologies, ElevenLabs' latest release, 11ai, integrates cutting-edge voice interaction features and offers users a highly personalized workflow experience through multi-tool integration and support for customizable MCP (Multi-Channel Protocol). Voice-first, productivity-focused. 11ai is centered around voice interaction.

A comprehensive analysis of MCP Stack's open-source marketing cloud platform functions, detailing its technical advantages in multi-channel integration, AI automated marketing, real-time data analysis, and providing implementation suggestions for enterprise-level marketing automation solutions.

Recently, Figma officially launched the official Model Context Protocol (MCP) service, bringing a revolutionary breakthrough to the AI-driven design-to-code workflow. This service greatly improves code generation efficiency and accuracy through more intelligent data transmission methods, attracting widespread attention in the industry. The AIbase editorial team has compiled the latest information to provide you with an in-depth analysis of the highlights and industry impact of the Figma MCP service. Figma Official MCP Service: Seamless Connection Between Design and Development Figm

Figma officially announced the launch of the Beta version of its Dev Mode MCP (Model Context Protocol) server, marking further integration between design and development workflows. This service standardizes the protocol for directly transmitting Figma design data to AI coding tools, significantly improving the efficiency and accuracy of converting design into code. The Dev Mode MCP service is now officially available, with the Figma Dev Mode MCP server already in Beta.