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by jamubc • Uncategorized
An MCP server enabling AI assistants to interact with Google Gemini CLI for large-scale code and file analysis.
Analyze large codebases or files using Google Gemini's extensive token window.
Safely test and run code snippets in an isolated sandbox environment.
Integrate Gemini's analysis capabilities directly within Claude Code or similar AI assistant interfaces.
The Gemini MCP Tool allows AI assistants like Claude to leverage Google Gemini's powerful analysis capabilities, especially for large files and codebases, using a simple Model Context Protocol server. It supports natural language queries, file referencing with '@' syntax, and sandboxed code execution for safe testing. This tool helps save tokens and enhances AI-driven code understanding and exploration.
model selection [-m], sandbox [-s], and changeMode:boolean for providing edits
Echo
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Generate novel ideas with dynamic context gathering. --> Creative frameworks (SCAMPER, Design Thinking, etc.), domain context integration, idea clustering, feasibility analysis, and iterative refinement.
Retrieves cached chunks from a changeMode response. Use this to get subsequent chunks after receiving a partial changeMode response.
Execute 'gemini -p <prompt>' to get Gemini AI's response. Supports enhanced change mode for structured edit suggestions.
Echo test message with structured response.
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Generate structured brainstorming prompt with methodology-driven ideation, domain context integration, and analytical evaluation framework
Fetch the next chunk of a response
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