Google launches Private AI Compute, a cloud system using isolated environments and TPU technology to ensure user data security, preventing even Google from accessing it, revolutionizing AI data privacy.....
Google plans to build a large AI data center on Australia's Christmas Island, following a cloud computing deal with the Australian Defense Department. Experts suggest it may serve as a surveillance outpost against Chinese naval activities.....
Google is in advanced talks to invest in AI firm Anthropic, potentially via cloud services, convertible bonds, or new funding, aiming to boost its stake beyond the current 14% and value Anthropic over $350 billion.....
Google Cloud updates Vertex AI with new APIs and managed engines for efficient AI agent development, scaling, and management. Enhances security with local agent identity features.....
The sixth-generation Tensor Processing Unit from Google, providing exceptional performance for AI workloads.
Google Cloud Machine Learning Engineer Learning Path
Google AI Studio is a platform on Google Cloud for building and deploying AI.
The Universal AI Platform of Google Cloud
flax-community
A RoBERTa model for classifying Swahili news texts, trained on Google Cloud TPUv3-8
This project provides an MCP server for deploying code to Google Cloud Run services, supporting deployment from various sources such as AI-assisted IDEs, AI assistant applications, and proxy SDKs.
This project is an MCP server for deploying code to Google Cloud Run, supporting deployment through AI agents, IDEs, and assistant applications.
The Gemini Cloud Assist MCP server is a tool that connects MCP clients with the Google Cloud Gemini Cloud Assist API, allowing users to understand, manage, and troubleshoot Google Cloud environment issues using natural language.
This project deploys the MCP server through Google Cloud Run, uses GCP IAM authentication to achieve secure access, and provides a temporary solution for teams to share the SSE MCP service.
The GCP MCP Server is a standardized AI assistant interface for querying and managing Google Cloud Platform resources
A comprehensive MCP tool for interacting with Google Workspace services (including documents, spreadsheets, presentations, and Cloud Drive), providing functions such as file management, content editing, and formatting.
A database service project based on the mcp - framework, providing tools for interaction between PostgreSQL and Google Cloud Storage
GCP MCP is a service protocol that allows AI assistants to manage Google Cloud Platform resources through natural language interaction
Google Cloud MCP Server, providing interaction tools and context support for Google Cloud resources
This project is an MCP server based on Google Cloud Vertex AI Gemini model, providing a rich toolset for code assistance and general Q&A, supporting web search-enhanced answers, document explanation generation, file system operations, and other functions.
An MCP server based on the Google Cloud Healthcare API that provides medical tools for interacting with FHIR resources, supports data access through a Smart on FHIR gateway with Firebase authentication, and integrates medical research APIs such as PubMed.
kube-audit-mcp is an MCP server that provides AI agents with the ability to query Kubernetes audit logs and supports multiple log providers such as Alibaba Cloud, AWS, and Google Cloud.
A microservice project that can obtain code from a GitHub repository and package it, supporting direct return of the packaged result or uploading to Google Cloud Storage. It provides functions such as API documentation, health checks, multi-format output, and error handling.
A multi-provider AI image generation server that supports Google, ZHIPU AI, and Alibaba Cloud Bailian, providing text-to-image generation and image transformation functions, and is compatible with MCP client applications.
A Google MCP remote service based on Cloudflare Workers, providing Google API tools such as Gmail, Calendar, and Drive, enabling seamless integration with AI clients.
The Claude desktop client realizes data interaction with Google Cloud by configuring the MCP server
An MCP service for Google Cloud Storage, supporting management operations on buckets and files
This is an MCP server project based on the OpenAPI specification, used for the Google Cloud IoT API, supporting automatic generation and multiple transmission modes.
This project is a read - only Google Cloud Storage MCP server based on the CData JDBC driver, which allows LLMs to query real - time data through natural language without writing SQL.
An MCP service that retrieves Google Cloud project logs via the gcloud CLI, supports conditional queries for OCPP and service - related logs, and returns results in YAML format
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
