Google Cloud▌
by krzko
Integrate Google Cloud with direct access to resources. Securely sign in to Google Drive and more for seamless cloud man
Integrates with Google Cloud services to provide direct access to Logging, Spanner, and Monitoring resources within conversations through authenticated connections.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Teams with mixed Google Cloud expertise levels
- / Automating cloud infrastructure management
- / Developers building cloud-native applications
- / DevOps engineers managing multiple GCP projects
capabilities
- / Execute gcloud CLI commands through natural language
- / Manage Google Cloud projects and resources
- / Monitor cloud infrastructure with observability APIs
- / Interact with Cloud Storage buckets and objects
- / Automate complex cloud workflows
- / Chain multiple cloud operations together
what it does
Lets AI assistants manage Google Cloud resources using natural language instead of complex gcloud CLI commands. Includes specialized servers for general cloud operations, observability, and storage management.
about
Google Cloud is a community-built MCP server published by krzko that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate Google Cloud with direct access to resources. Securely sign in to Google Drive and more for seamless cloud man It is categorized under cloud infrastructure, developer tools.
how to install
You can install Google Cloud in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
Apache-2.0
Google Cloud is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Integrate Google Cloud with direct access to resources. Securely sign in to Google Drive and more for seamless cloud man
TL;DR: Lets AI assistants manage Google Cloud resources using natural language instead of complex gcloud CLI commands. Includes specialized servers for general cloud operations, observability, and storage management.
What it does
- Execute gcloud CLI commands through natural language
- Manage Google Cloud projects and resources
- Monitor cloud infrastructure with observability APIs
- Interact with Cloud Storage buckets and objects
- Automate complex cloud workflows
- Chain multiple cloud operations together
Best for
- Teams with mixed Google Cloud expertise levels
- Automating cloud infrastructure management
- Developers building cloud-native applications
- DevOps engineers managing multiple GCP projects
Highlights
- Multiple specialized servers for different GCP services
- Natural language commands instead of CLI syntax
- Officially maintained by Google
FAQ
- What is the Google Cloud MCP server?
- Google Cloud is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Google Cloud?
- This profile displays 51 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★51 reviews- ★★★★★Dhruvi Jain· Dec 28, 2024
Google Cloud is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Sofia Harris· Dec 24, 2024
We evaluated Google Cloud against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Hassan Gill· Dec 24, 2024
According to our notes, Google Cloud benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Xiao Shah· Dec 8, 2024
Useful MCP listing: Google Cloud is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Min Shah· Nov 27, 2024
According to our notes, Google Cloud benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Oshnikdeep· Nov 19, 2024
We evaluated Google Cloud against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Sofia Martinez· Nov 15, 2024
Google Cloud is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Hassan Abbas· Nov 15, 2024
Useful MCP listing: Google Cloud is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Xiao Park· Nov 3, 2024
Google Cloud reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Olivia Thompson· Oct 22, 2024
I recommend Google Cloud for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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