What prerequisites are required?
Node.js 18.0 or higher, a Google Cloud Project with Drive API enabled, and OAuth2 credentials from Google Cloud Console.
@danfeder
Basic information
Google Drive MCP Server - A Model Context Protocol server for intelligent Google Drive integration with OAuth 2.0, content analysis, and organization insights
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"gdrive-sparc-mcp": {
"command": "node",
"args": [
"test-server.js"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
AI-powered Google Drive integration through Model Context Protocol (MCP) providing intelligent file management, content analysis, and organization insights. It is for users who want to manage and analyze Google Drive files using MCP tools.
Install Node.js 18+, clone the repository, install dependencies, set up Google Cloud OAuth2 credentials, configure environment variables, build and start the server. Then integrate with an MCP client by adding the server configuration (command: node, args: path to server.js).
Node.js 18.0 or higher, a Google Cloud Project with Drive API enabled, and OAuth2 credentials from Google Cloud Console.
It provides the tools list_files, get_file_content, search_files, analyze_content, and get_organization_insights.
It uses a secure OAuth2 flow with Google, requesting read-only access to Google Drive and basic profile information.
No, the server does not persist user data; it uses encrypted session management and has no persistent storage of user data.
Required environment variables: GOOGLE_CLIENT_ID, GOOGLE_CLIENT_SECRET, GOOGLE_REDIRECT_URI, and SESSION_SECRET.

STRG S3-compatible Object Storage is a remote MCP server available at https://mcp.strg.com.
MCP server to integrate AWS S3 and LLM
A Model Context Protocol (MCP) server that provides file system context to Large Language Models (LLMs). This server enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities.
Markdown To PDF Conversion MCP

Model Context Protocol Servers
Comments