+++ title = “Google Drive MCP Server” linkbuilding = [ “drive mcp”, “mcp server available tool”, “mcp server provides tools”, “tools mcp server”, “mcp server tools” ] keywords = [ “google drive mcp server”, “google drive mcp”, “mcp server”, “google drive”, “drive mcp”, “mcp”, “cloud storage”, “file management”, “model context protocol” ] description = “Seamlessly integrate Google Drive with AI assistants and developer tools using the Model Context Protocol (MCP). The Google Drive MCP Server enables natural language file operations, automated document management, and intelligent collaboration workflows for tools like Claude, Cursor, Windsurf, and FlowHunt.” image = “/images/hosted-mcp-servers/onedrive.webp” shortDescription = “Transform your Google Drive into an AI-powered workspace. Search files naturally, automate document workflows, and integrate cloud storage directly into your AI-enhanced development environment with the Google Drive MCP Server.” tags = [ “Cloud Storage”, “File Management”, “Google Drive”, “MCP”, “AI Integration”, “Document Automation” ] categories = [ “Integrations”, “MCP Servers” ] showCTA = true ctaHeading = “Try Google Drive MCP Server with FlowHunt” ctaDescription = “Unlock intelligent file management in your AI workflows. Automate document processing, enable natural language file search, and empower your team with seamless Google Drive integration.” ctaPrimaryText = “Try it Now” ctaPrimaryURL = “https://app.flowhunt.io/sign-in" ctaSecondaryText = “Book a demo” ctaSecondaryURL = “/demo/” fork = 0 star = 0 overallScore = "” date = “2026-01-14 13:44:27”

[[mcpServerConf]] client = “windsurf” config = “1. Ensure Python 3.10+ is installed. 2. Install the Google Drive MCP server package. 3. Set up Google Drive API credentials (service account or OAuth 2.0). 4. Add the server to your mcpServers configuration: { "mcpServers": { "google-drive": { "command": "python3", "args": ["-m", "google_drive_mcp"], "env": { "GOOGLE_APPLICATION_CREDENTIALS": "/path/to/credentials.json" } } } } 5. Save and restart Windsurf. 6. Verify access in Windsurf’s MCP panel. "

[[mcpServerConf]] client = “claude” config = “1. Ensure Python 3.10+ is installed. 2. Install the Google Drive MCP server. 3. Configure Google Drive API access credentials. 4. Update your Claude configuration: { "mcpServers": { "google-drive": { "command": "python3", "args": ["-m", "google_drive_mcp"], "env": { "GOOGLE_APPLICATION_CREDENTIALS": "/path/to/credentials.json" } } } } 5. Save and restart Claude. 6. Confirm connection in Claude’s integrations panel. "

[[mcpServerConf]] client = “cursor” config = “1. Install Python 3.10+ and the Google Drive MCP server. 2. Set up Google Drive API credentials. 3. Edit Cursor’s MCP configuration: { "mcpServers": { "google-drive": { "command": "python3", "args": ["-m", "google_drive_mcp"], "env": { "GOOGLE_APPLICATION_CREDENTIALS": "/path/to/credentials.json" } } } } 4. Save and restart Cursor. 5. Check server status in the MCP panel. "

[[mcpServerConf]] client = “cline” config = “1. Ensure Python 3.10+ is present. 2. Install the Google Drive MCP server. 3. Configure Google Drive API credentials. 4. Update Cline’s configuration: { "mcpServers": { "google-drive": { "command": "python3", "args": ["-m", "google_drive_mcp"], "env": { "GOOGLE_APPLICATION_CREDENTIALS": "/path/to/credentials.json" } } } } 5. Save, restart, and verify connectivity. "

[[faq]] question = “What is the Google Drive MCP Server?” answer = “The Google Drive MCP Server is a powerful integration tool that bridges Google Drive’s cloud storage capabilities with AI assistants and developer tools through the Model Context Protocol (MCP). It enables natural language file operations, intelligent search, automated document management, and seamless access to your Drive files directly from AI-powered workflows.”

[[faq]] question = “What are the main use cases for this server?” answer = “Key use cases include natural language file search across your Drive, automated document processing and analysis, intelligent content organization, collaborative workflow automation, bulk file operations, document versioning and tracking, and cross-platform file management integration with other MCP-enabled tools.”

[[faq]] question = “How do I secure my Google Drive credentials?” answer = “Always store your Google Drive API credentials securely using environment variables. Set GOOGLE_APPLICATION_CREDENTIALS to point to your service account JSON file or OAuth credentials. Never hardcode credentials in configuration files. Use service accounts with minimal required permissions for production deployments.”

[[faq]] question = “Can I access Google Workspace files like Docs and Sheets?” answer = “Yes! The server automatically converts Google Workspace files (Docs, Sheets, Slides, Drawings) to readable formats. Google Docs are converted to Markdown, Sheets to CSV, and Slides to plain text. This allows AI assistants to read and analyze your Workspace content seamlessly.”

[[faq]] question = “What file operations are supported?” answer = “The server supports comprehensive file operations including searching files with advanced query syntax, reading file contents (with automatic format conversion), listing folder contents, retrieving detailed file metadata including permissions and sharing settings, and accessing file capabilities and ownership information.”

[[faq]] question = “How do I use this MCP server inside FlowHunt?” answer = “Add the MCP component to your FlowHunt flow and connect it to your AI agent. In the MCP configuration panel, insert your Google Drive MCP server details in JSON format. Once configured, your AI agent can perform file operations, search documents, and automate Drive workflows using natural language commands.” +++

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