News from the AI & ML world
DeeperML
@cloud.google.com
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Google is pushing forward with AI integration across its cloud services and applications, introducing new capabilities to empower developers and enhance user experiences. A key development is the announcement of new MCP (Model Context Protocol) integrations to Google Cloud Databases. This aims to enable AI-assisted development by making it easier to connect databases to AI assistants within Integrated Development Environments (IDEs).
This new MCP integration leverages the MCP Toolbox for Databases, an open-source server that facilitates connections between generative AI agents and enterprise data. Supporting various databases including BigQuery, AlloyDB, Cloud SQL, Spanner, and even self-managed options like PostgreSQL and MySQL, the Toolbox allows developers to use MCP-compatible AI assistants to write code, design schemas, refactor code, generate testing data, and explore databases. Pre-built tools within the Toolbox streamline integration with Google Cloud databases directly from within preferred IDEs like VSCode, Claude Code, and Cursor.
Furthering its AI integration efforts, Google has made NotebookLM shareable via a simple link. NotebookLM, an AI-powered research notebook, allows users to compile research, summarize PDFs, and generate FAQs from uploaded source material. This update enables users to share their AI-generated content, such as summaries and briefing documents, with others, fostering collaboration and knowledge sharing. Viewers can interact with the AI-generated content by asking questions, though they cannot modify the source material. This new feature enhances NotebookLM's utility for creating study guides, product documentation, and strategic frameworks in a semi-interactive format.
ImgSrc: storage.googlea
References :
This new MCP integration leverages the MCP Toolbox for Databases, an open-source server that facilitates connections between generative AI agents and enterprise data. Supporting various databases including BigQuery, AlloyDB, Cloud SQL, Spanner, and even self-managed options like PostgreSQL and MySQL, the Toolbox allows developers to use MCP-compatible AI assistants to write code, design schemas, refactor code, generate testing data, and explore databases. Pre-built tools within the Toolbox streamline integration with Google Cloud databases directly from within preferred IDEs like VSCode, Claude Code, and Cursor.
Furthering its AI integration efforts, Google has made NotebookLM shareable via a simple link. NotebookLM, an AI-powered research notebook, allows users to compile research, summarize PDFs, and generate FAQs from uploaded source material. This update enables users to share their AI-generated content, such as summaries and briefing documents, with others, fostering collaboration and knowledge sharing. Viewers can interact with the AI-generated content by asking questions, though they cannot modify the source material. This new feature enhances NotebookLM's utility for creating study guides, product documentation, and strategic frameworks in a semi-interactive format.
ImgSrc: storage.googlea
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References :
- AI & Machine Learning: Announcing new MCP integrations to Google Cloud Databases to enable AI-assisted development
- Maginative: Google’s NotebookLM Now Lets You Share AI-Powered Notebooks With a Link