"Comparison of cloud service providers: Google Cloud, AWS, Vercel, Supabase" matching MCP servers:

Enables AI clients to securely operate isolated coding workspaces with file, command, Git, and deployment tools via authenticated remote MCP.

Installs an agent on Linux hosts to allow shell commands, file edits, and service management through Claude.ai or ChatGPT via a secure outbound WebSocket connection.

Enables AI agents to operate a persistent Linux sandbox in the cloud, running commands, managing files, using Git, and publishing artifacts through a Streamable HTTP MCP endpoint.

A production-ready MCP server providing AI assistants with intelligent Supabase database access, featuring dynamic schema discovery, complete user management, and file storage operations.

Enables cloud agents to securely operate local machine resources (files, commands, screenshots) via standard MCP protocol.

Real TypeScript MCP server for connecting Zynx agents to Supabase through safe, allowlisted tools.

Enables secure file and bucket management operations with Supabase Storage through enterprise-grade security features, batch uploads/downloads, and comprehensive file management capabilities. Supports both local file paths and base64 data with advanced transformations and auto-download functionality.

Unifies local MCP servers into a single secure Cloudflare Tunnel endpoint, making them accessible to MCP clients like Notion and Claude. Supports HTTP/SSE/stdio servers, built-in file system tools, bearer authentication, and one-click Windows setup.

An implementation of the Model Context Protocol that allows AI models to interact with 360 AI Cloud Drive, providing comprehensive file management capabilities including uploading, downloading, searching, and sharing files.

Provides secure access to AWS S3 buckets through pre-signed URLs, enabling listing, downloading, uploading, and deleting objects.

MCP server for Google Drive integration with file management, search, sharing, and full CRUD operations.

Enables AI assistants to search documentation, read and update configuration files, and discover settings across your development workspace. Supports JSON, YAML, TOML, and Markdown files with seamless integration for GitHub Copilot and other MCP clients.

Enables read-only access to multiple Google Drive accounts simultaneously through secure service account authentication. Supports listing, searching, and extracting content from Google Workspace documents, spreadsheets, and text files.

Enables reading and extracting structured data from Google Docs and Sheets, including text, tables, formulas, and images. It supports advanced image handling and multiple authentication methods for interacting with private and public workspace files.

Secure agent coding runtime for local Git repos with policy enforcement, RBAC, sessions, approval workflow, and sandboxed writes, optionally connectable to ChatGPT via Secure MCP Tunnel.

A comprehensive integration providing 114 tools to manage Google Drive, Docs, Sheets, Slides, Gmail, Calendar, and more through the Model Context Protocol. It enables seamless interaction with the full Google Workspace suite for file management, communication, and scheduling directly within Claude.

Google Drive MCP server that enables file management, conversion of spreadsheets to live Google Sheets, sharing, and downloading. Designed for collaborative review workflows.

Enables comprehensive Google Drive operations including file management, content retrieval, permission handling, commenting, and collaboration through the Model Context Protocol.

Enables interaction with Google Sheets, Docs, and Drive to manage spreadsheets, documents, and files. It supports operations like reading and updating cell data, extracting text from documents, and searching or sharing files within Google Drive.

An MCP server that enables AI assistants to list, read, create, and manage files in Google Drive. It features automatic conversion of Google Workspace formats into Markdown, CSV, and plain text for seamless integration with AI workflows.