gemini-cloud-assist-mcp and gemini-mcp

The first tool provides server-side infrastructure for Gemini Cloud Assist, while the second tool offers an AI assistant leveraging Gemini's visual and chat capabilities, making them potentially complementary as a consumer of the assist's underlying infrastructure or ecosystem siblings, with the second tool being a more user-facing application built on similar foundational technology.

gemini-cloud-assist-mcp
61
Established
gemini-mcp
43
Emerging
Maintenance 10/25
Adoption 8/25
Maturity 24/25
Community 19/25
Maintenance 10/25
Adoption 4/25
Maturity 15/25
Community 14/25
Stars: 54
Forks: 17
Downloads:
Commits (30d): 0
Language: TypeScript
License: Apache-2.0
Stars: 6
Forks: 3
Downloads:
Commits (30d): 0
Language: TypeScript
License: Apache-2.0
No risk flags
No Package No Dependents

About gemini-cloud-assist-mcp

GoogleCloudPlatform/gemini-cloud-assist-mcp

An MCP Server for Gemini Cloud Assist; provides tools to assist with your tasks on GCP

This helps Google Cloud Platform (GCP) users understand, manage, and troubleshoot their cloud environment using natural language commands. You describe a problem or task in plain English, and it outputs insights, managed tasks, or troubleshooting steps for your GCP resources. It's designed for cloud administrators, DevOps engineers, and anyone managing infrastructure on GCP.

cloud-administration DevOps GCP-management troubleshooting cloud-operations

About gemini-mcp

houtini-ai/gemini-mcp

Google Gemini MCP - Use Google's visual, video and chat capabilities in your AI Assistant. Uses MCP Apps to preview created images, landing pages, SVGs and video

Implements 13 Gemini tools (chat with grounded search, deep research, image/video/SVG generation, image editing) via MCP stdio transport for seamless Claude Desktop integration. Grounded search is enabled by default; video generation uses Veo 3.1 with configurable resolution and audio synthesis; SVG output is production-ready vector code with style variants. Requires only a Gemini API key and `npx` one-liner for setup, or local build via npm for development environments.

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