Google Cloud now offers a Gemini Enterprise Agent Platform remote MCP server. This server acts as a secure bridge between external AI agents and Google Cloud resources. Developers can connect their Integrated Development Environments (IDEs) to Google Cloud, enabling AI agents to interact with services like Model Garden and Notebooks. This integration simplifies development by reducing the need for extensive integration code. It also accelerates time-to-value by providing a standardized interface within Google Cloud's secure infrastructure. The platform supports open standards, preventing vendor lock-in and ensuring compliance. Agent Registry provides a centralized library for discovering and governing AI capabilities. Security is maintained through native Cloud IAM Deny policies, controlling resource access. Enabling the Gemini Enterprise Agent Platform API automatically activates the remote MCP server. Connecting involves configuring the AI application to point to the remote server and utilizing available toolset endpoints. These toolsets facilitate interaction with generative AI, prediction, notebook management, model endpoints, model registry, fine-tuning, evaluation, and prompt management. Developers can start building by connecting their agent frameworks to the Agent Platform MCP server.