gemini-mcp-tool
Сообществоот jamubc
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
Установка
claude mcp add gemini-cli -- npx -y gemini-mcp-toolОписание
# Gemini MCP Tool <div align="center"> [](https://github.com/jamubc/gemini-mcp-tool/releases) [](https://www.npmjs.com/package/gemini-mcp-tool) [](https://www.npmjs.com/package/gemini-mcp-tool) [](https://opensource.org/licenses/MIT) [](https://github.com/jamubc/gemini-mcp-tool) </div> > 📚 **[View Full Documentation](https://jamubc.github.io/gemini-mcp-tool/)** - Search me!, Examples, FAQ, Troubleshooting, Best Practices This is a simple Model Context Protocol (MCP) server that allows AI assistants to interact with the [Gemini CLI](https://github.com/google-gemini/gemini-cli). It enables the AI to leverage the power of Gemini's massive token window for large analysis, especially with large files and codebases using the `@` syntax for direction. - Ask gemini natural questions, through claude or Brainstorm new ideas in a party of 3! <a href="https://glama.ai/mcp/servers/@jamubc/gemini-mcp-tool"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@jamubc/gemini-mcp-tool/badge" alt="Gemini Tool MCP server" /> </a> ## TLDR: [](#) + [](#) **Goal**: Use Gemini's powerful analysis capabilities directly in Claude Code to save tokens and analyze large files. ## Prerequisites Before using this tool, ensure you have: 1. **[Node.js](https://nodejs.org/)** (v16.0.0 or higher) 2. **[Google Gemini CLI](https://github.com/google-gemini/gemini-cli)** installed and configured ### One-Line Setup ```bash claude mcp add gemini-cli -- npx -y gemini-mcp-tool ``` ### Verify Installation Type `/mcp` inside Claude Code to verify the gemini-cli MCP is active. --- ### Alternative: Import from Claude Desktop If you already have it configured in Claude Desktop: 1. Add to your Claude Desktop config: ```json "gemini-cli": { "command": "npx", "args": ["-y", "gemini-mcp-tool"] } ``` 2. Import to Claude Code: ```bash claude mcp add-from-claude-desktop ``` ## Configuration Register the MCP server with your MCP client: ### For NPX Usage (Recommended) Add this configuration to your Claude Desktop config file: ```json { "mcpServers": { "gemini-cli": { "command": "npx", "args": ["-y", "gemini-mcp-tool"] } } } ``` ### For Global Installation If you installed globally, use this configuration instead: ```json { "mcpServers": { "gemini-cli": { "command": "gemini-mcp" } } } ``` **Configuration File Locations:** - **Claude Desktop**: - **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json` - **Windows**: `%APPDATA%\Claude\claude_desktop_config.json` - **Linux**: `~/.config/claude/claude_desktop_config.json` After updating the configuration, restart your terminal session. ## Example Workflow - **Natural language**: "use gemini to explain index.html", "understand the massive project using gemini", "ask gemini to search for latest news" - **Claude Code**: Type `/gemini-cli` and commands will populate in Claude Code's interface. ## Usage Examples ### With File References (using @ syntax) - `ask gemini to analyze @src/main.js and explain what it does` - `use gemini to summarize @. the current directory` - `analyze @package.json and tell me about dependencies` ### General Questions (without files) - `ask gemini to search for the latest tech news` - `use gemini to explain div centering` - `ask gemini about best practices for React development related to @file_im_confused_about` ### Using Gemini CLI's Sandbox Mode (-s) The sandbox mode allows you to safely test code changes, run scripts, or execute potentially risky operations in an isolated environment. - `use gemini sandbox to create and run a Python script that processes data` - `ask gemini to safely test @script.py and explain what it does` - `use gemini sandbox to install numpy and create a data visualization` - `test this code safely: Create a script that makes HTTP requests to an API` ### Tools (for the AI) These tools are designed to be used by the AI assistant. - **`ask-gemini`**: Asks Google Gemini for its perspective. Can be used for general questions or complex analysis of files. - **`prompt`** (required): The analysis request. Use the `@` syntax to include file or directory references (e.g., `@src/main.js explain this code`) or ask general questions (e.g., `Please use a web search to find the latest news stories`). - **`model`** (optional): The Gemini model to use. Defaults to `gemini-2.5-pro`. - **`sandbox`** (optional): S
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