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
47
Emerging
Maintenance 10/25
Adoption 8/25
Maturity 24/25
Community 19/25
Maintenance 6/25
Adoption 8/25
Maturity 18/25
Community 15/25
Stars: 54
Forks: 17
Downloads:
Commits (30d): 0
Language: TypeScript
License: Apache-2.0
Stars: 6
Forks: 4
Downloads: 65
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

Implements MCP-compliant tools that wrap Gemini Cloud Assist APIs for root-cause investigation workflows—create investigations, run them asynchronously, and iteratively refine analysis by adding observations. Integrates with MCP clients (Gemini CLI, Claude Desktop, Cursor, Cline) via stdio transport and uses Google Cloud Application Default Credentials (ADC) for authentication, enabling natural-language GCP troubleshooting from the command line.

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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