Build Google Drive MCP Server for AI File Search & Extraction

This n8n workflow sets up a Google Drive MCP (Model Context Protocol) server, allowing compatible AI clients such as Claude Desktop to query and retrieve contents from your Google Drive. It uses an MCP server trigger connected to a Google Drive tool for file searches within specified folders and a custom workflow tool to download files and convert binaries (e.g., PDFs) to text representations.

Key benefits include seamless integration of Drive data with AI agents for natural language queries like 'search last month's expense reports' or 'summarize company policy on refunds.' It saves time by automating document discovery and extraction, reducing manual searching, and supports shared or personal Drives with credential controls for security.

Ideal use cases: Real estate agents scheduling showings by querying property docs; businesses analyzing reports; or teams extracting insights from policies. Customize by adding file management tools (rename/move/delete) and requires Google Drive, OpenAI for media, and an MCP client. Production-ready with auth settings.