gemini-mcp-tool and gemini-cloud-assist-mcp
These are ecosystem siblings: one provides general-purpose access to Gemini's capabilities for any AI assistant, while the other integrates Gemini Cloud Assist specifically into MCP as a GCP-focused service tool—both extending MCP's functionality in different directions rather than competing or depending on each other.
About gemini-mcp-tool
jamubc/gemini-mcp-tool
MCP server that enables AI assistants to interact with Google Gemini CLI, leveraging Gemini's massive token window for large file analysis and codebase understanding
Implements the Model Context Protocol (MCP) to bridge Claude with Gemini CLI, exposing tools like `ask-gemini` and `sandbox-test` for safe code execution and file analysis using the `@` syntax for context injection. Integrates directly into Claude Desktop and Claude Code via stdio transport, defaulting to the `gemini-2.5-pro` model while supporting configurable model selection and sandbox mode for isolated script testing.
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.
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