"Google Drive and MCP (possible topics: integration, management, or related tools)" matching MCP servers:

Enables web ChatGPT to drive durable, sandboxed Claude Code sessions on a local Mac, with controlled read, modify, verify, and recover operations via six session control tools.

A comprehensive MCP server for developers providing file operations, shell execution, git integration, and smart caching to enhance AI-assisted development.

A passive MCP server that exposes a toolbox of executable tools (shell, network, HTTP, AI search, SSH, S3 file operations) to autonomous agents via Streamable HTTP, with strong security features including Docker sandboxing and WAF.

MCP server for infrastructure discovery and remote management, enabling SSH command execution, file transfer, log tailing, and machine/service inventory with a companion web dashboard.

An MCP (Model Context Protocol) server implementation using HTTP SSE (Server-Sent Events) connections with built-in utility tools including echo, time, calculator, and weather query functionality.

Enables AI assistants to perform controlled Linux system administration tasks like reading logs, managing services, cron jobs, WordPress, and executing sandboxed Python code, with strict security constraints.

A server based on the MCP framework that provides remote server management capabilities through SSH, supporting features like connection pooling, file transfers, and remote command execution.

Open-source MCP server for managing Hetzner Cloud infrastructure with two management layers: * Layer 1 — Hetzner Cloud API (35 tools): Server power control, metrics, snapshots, backups, firewalls, DNS zones and records, rescue mode, server rebuild and rescale. Works even when the server OS is unresponsive. * Layer 2 — SSH (25 tools): Service management (systemd), Nginx config and reload,

A Python-based MCP server for local Windows diagnostics, task management, cleanup, hardware inspection, security checks, and administrative workflows.

Integrates 7 security tools (nmap, nuclei, dirsearch, sqlmap, hydra, Acunetix, Metasploit) via MCP protocol for AI-assisted penetration testing with enterprise-grade safety features.

Turns local project directories into persistent MCP workspaces, allowing AI agents to read files, modify code, run commands, manage Git, and save session progress across conversations.

Enables any MCP client to read, search, patch, and execute commands in a codebase, including interactive sessions and git operations, with permission modes and safety boundaries.

Provides file system operations (read, search, list) and time queries, enabling Claude to interact with files and get time in any timezone.

A custom Model Context Protocol server that gives Claude Desktop and other LLMs access to file system operations and command execution capabilities through standardized tool interfaces.

MCP server for encoding-aware file operations supporting 24 encodings, with secure directory-restricted tools and optional local execution for ChatGPT Web via OpenAI Secure MCP Tunnel.

Enables AI agents to efficiently manage and monitor background processes, with features like process startup, termination, log retrieval, and resource management.

Allows Claude to execute terminal commands on your computer and perform file system operations including surgical code editing with diff-based replacements.

MCP server for running shell commands on a Linux development board via UART serial.

Enables AI clients to securely execute remote commands and transfer files over SSH through standardized MCP tools, with multi-host management, flexible authentication, and an admin console.

A throwaway Docker sandbox for agents to run code and shell commands safely.