Cursor
Desktop · Freemium · Proprietary
The first agentic IDE. The Cursor editor truly merges how developers and AI work together, delivering a magical coding experience.
Developer Tools · Cloud Platform
Gemini Cloud Assist MCP
googlecloudplatform/gemini-cloud-assist-mcp
The Gemini Cloud Assist MCP server has migrated from a local Node.js architecture to a Remote MCP Server architecture. The older local Node.js server will lose support in the coming months.
Install
Client configuration
{
"mcpServers": {
"gemini_cloud_assist": {
"url": "https://geminicloudassist.googleapis.com/mcp"
}
}
}- Author
- @googlecloudplatform
- Category
- Developer Tools, Cloud Platform
- License
- Apache-2.0
- Updated
- Oct 6, 2026
About Gemini Cloud Assist MCP
[!IMPORTANT] Private Preview Notice The Gemini Cloud Assist MCP server APIs are currently in Private Preview and are behind an allowlist. Please contact your Google Cloud account team to request access.
Features
Design infrastructure: Create and architect infrastructure configurations for Google Cloud.
Troubleshoot issues: Run deep investigations to find the root cause of complex issues in your Google Cloud environment.
Manage resources: Create, update, and delete Google Cloud resources directly from your chat workflow (requires Agent Actions).
Optimize costs: Analyze your spend, track costs, and identify opportunities for efficiency such as idle resources.
Get general assistance: Ask questions and get guidance on Google Cloud best practices, architectures, and operations.
Tools (10)
ask_cloud_assist
The primary interface for Google Cloud assistance and for the Gemini Cloud Assist agent.
design_infra
Supports workflows for designing and architecting infrastructure on Google Cloud.
investigate_issue
Supports workflows for troubleshooting in Google Cloud.
invoke_operation
Supports workflows for creating, updating, and deleting resources in Google Cloud.
optimize_costs
Supports workflows for analyzing, tracking, and optimizing Google Cloud costs.
setup_adc
Initializes the Application Design Center environment.
manage_application
Manages the deployment lifecycle of an application.
manage_application_template
Manages the Infrastructure as Code (IaC) content of your infrastructure design.
assess_best_practices
Performs a comprehensive security and configuration audit on your application design before deployment.
list_application_templates
Lists all available application designs.
Details on this page are taken from the project's README. Open README
Supported clients
Clients mentioned in this server's README:
Related MCP servers
Playwright
microsoft/playwright
Playwright is a framework for web automation and testing. It drives Chromium, Firefox, and WebKit with a single API — in your tests, in your scripts, and as a tool for AI agents.
repomix
yamadashy/repomix
Repomix is a tool that packs a codebase into an AI-friendly format, supporting local and remote repository processing and providing code compression, security checks and multiple output formats.
UI-TARS-desktop
bytedance/UI-TARS-desktop
TARS is ByteDance's multimodal AI agent stack, shipping two projects: Agent TARS (a CLI and Web UI agent built on MCP) and UI-TARS-desktop (a desktop GUI agent).
blender
ahujasid/blender-mcp
formerly blender-mcp — the PyPI package is now mcp-for-blender. Existing setups keep working; no config change is required. Read more.
Playwright Browser Automation
microsoft/playwright-mcp
A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. This server enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models.
2344
comet-ml/opik
Opik is the open-source LLM observability and evaluation platform for AI agent tracing, LLM evaluation, prompt management, and production monitoring. Built by Comet. Apache-2.0 licensed, free to self-host the full platform, with 20,000+ GitHub stars.