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Searchable catalog of Model Context Protocol servers. Find tools that connect your AI assistant to the services and data you use.

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  1. Servers
  2. /Cloud Platforms
  3. /Gemini Cloud Assist
Cloud PlatformsOfficial
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Gemini Cloud Assist

[!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. > [!WARNING] > Deprecation Notice & Migration to Remote MCP Server > > 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. > > To use the new Remote MCP Servers, please use version v0.8.0 or later. If you wish to continue using the legacy local server during the transition, please pin your configuration to older versions.

67 starsUpdated Aug 30, 2026
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Overview

[!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. > [!WARNING] > Deprecation Notice & Migration to Remote MCP Server > > 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. > > To use the new Remote MCP Servers, please use version v0.8.0 or later. If you wish to continue using the legacy local server during the transition, please pin your configuration to older versions.

Capabilities

  • ask_cloud_assist

    Ask general Google Cloud questions — Get guidance on best practices, architectures, and operations using `ask_cloud_assist`.

  • design_infra

    Design and architect infrastructure — Describe your requirements and use `design_infra` to create infrastructure configurations for Google Cloud.

  • investigate_issue

    Troubleshoot cloud issues — Run deep investigations to find root causes of problems in your environment with `investigate_issue`.

  • invoke_operation

    Manage cloud resources — Create, update, or delete Google Cloud resources directly through `invoke_operation` when Agent Actions are enabled.

  • optimize_costs

    Analyze and optimize costs — Get spend breakdowns and identify cost-saving opportunities like idle resources using `optimize_costs`.

  • manage_application

    Deploy verified infrastructure designs — Use `manage_application` to deploy a design after validating it with `assess_best_practices`.

Installation

https://geminicloudassist.googleapis.com/mcp

Configuration

{
  "mcpServers": {
    "gemini-cloud-assist-mcp": {
      "url": "https://geminicloudassist.googleapis.com/mcp"
    }
  }
}
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Paste into ~/.cursor/mcp.json or .cursor/mcp.json

Tags

  • google-cloud
  • cloud-infrastructure
  • ai-agent
  • devops-infrastructure

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