What prerequisites are needed?
Node.js v16 or higher, TypeScript, Claude Desktop, a Google Gemini API key, and an SMTP email account (for email features).
@MCP-Mirror
Basic information
Mirror of
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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An MCP server that uses Google’s Gemini Flash 2 AI model to analyze data, generate research content, and deliver results via email. It integrates with Claude Desktop and is designed for data analysts and researchers who need automated analysis and reporting directly in their workflow.
Install Node.js v16+, clone the repository, run npm install and npm run build, then set GEMINI_API_KEY and SMTP credentials in a .env file. Configure Claude Desktop by adding the server to claude_desktop_config.json. Use the tools analyze-data, send-email, and generate-thinking with appropriate arguments.
Node.js v16 or higher, TypeScript, Claude Desktop, a Google Gemini API key, and an SMTP email account (for email features).
Edit `%AppData%/Claude/claude_desktop_config.json`, add an entry under `mcpServers` with the command `node`, path to the built `index.js`, and environment variables for the API key and email credentials.

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