gemini-cloud-assist-mcp and gopher-mcp

One is an MCP server for providing AI assistance specifically within Google Cloud Platform, while the other is a broader, cross-platform MCP server for AI assistants to interact with Gopher and Gemini protocol resources, suggesting they are **ecosystem siblings** where the former is a specialized application of the MCP server concept that the latter broadly implements.

gemini-cloud-assist-mcp
61
Established
gopher-mcp
49
Emerging
Maintenance 10/25
Adoption 8/25
Maturity 24/25
Community 19/25
Maintenance 6/25
Adoption 4/25
Maturity 24/25
Community 15/25
Stars: 54
Forks: 17
Downloads:
Commits (30d): 0
Language: TypeScript
License: Apache-2.0
Stars: 6
Forks: 4
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No risk flags
No risk flags

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 gopher-mcp

cameronrye/gopher-mcp

A modern, cross-platform Model Context Protocol (MCP) server that enables AI assistants to browse and interact with both Gopher protocol and Gemini protocol resources safely and efficiently.

Built on the FastMCP framework with async/await patterns, it provides `gopher_fetch` and `gemini_fetch` tools that return structured JSON responses optimized for LLM consumption. Implements advanced security through TOFU certificate validation, client certificate support, timeouts, size limits, and host allowlists. Integrates directly with Claude Desktop via stdio transport and supports HTTP-based MCP servers for broader ecosystem compatibility.

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