"Five9: Cloud Contact Center Software" matching MCP servers:

Enables LLMs to list, open, and close installed software on Windows, macOS, and Linux through natural language.

Wraps multiple cloud CLIs (AWS, GCP, Azure, OCI) into a unified command interface and exposes them as MCP tools for AI assistants.

Unified MCP server for managing cloud resources across AWS, Google Cloud, Azure, and DigitalOcean by wrapping their CLI tools.

Local-first MCP server that provides project context, verification gates, and structured tools for coding agents to discover knowledge, run diagnostics, and execute allowlisted commands within a repository.

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 cloud replacement for mcp-server-filesystem that provides 30 tools for S3, Azure Blob, and Google Cloud Storage, deployable locally via STDIO or remotely over HTTP/WebSocket with OAuth 2.1 authentication.

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

Enables interaction with Google Cloud Platform services through gcloud CLI commands via a Cloud Run deployed MCP server. Supports executing gcloud commands and managing GCP resources through natural language.

Centralized MCP server that provides standardized development workflow commands to Cursor AI, auto-detecting project type (Laravel, Next.js, Flutter, Architecture) and offering relevant commands for implementation, testing, and commits.

A lightweight service that enables AI assistants to execute AWS CLI commands through the Model Context Protocol (MCP), allowing AI tools to retrieve AWS documentation and interact with AWS services.

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.

Enables AI assistants to directly invoke Kali Linux network tools for network maintenance and security assessment, with 19 tools including port scanning, DNS queries, and penetration testing.

Enables a coding-agent session to exchange messages with another machine's session over SSH, returning replies and maintaining per-peer conversation history across calls without a cloud relay or extra API keys.

MCP server for TQS structural engineering CAD/analysis software, enabling Claude to read building models, extract drawing data, run structural processing, and script against the TQS API.

Provides a local, isolated Linux VM sandbox for AI agents using Apple's Virtualization.framework, enabling fast command execution (~60ms) and package management without cloud costs.

Geniuz stores everything in a local database locally on Mac, Windows, Linux, Raspberry Pi. No cloud. No account. No API keys. Nothing leaves your machine. It's open source; you can read every line of code.

MCP server for controlling local music playback via NetEase Cloud Music, enabling search, play, pause, skip, and lyrics display through a local web player.

Enables MCP clients such as Claude and Cursor to control an isolated cloud machine with a real browser, shell, filesystem, and web access, so agents can navigate pages, click and type, run commands, manage files, and search or fetch web content.

An MCP server that enables Claude to interact with Tembo Cloud platform API, allowing users to manage Tembo Cloud resources through natural language.

Gives MCP-compatible AI agents a full local terminal over stdio, enabling shell command execution, file reads and writes, content search, background processes, and stateful tmux sessions with variable capture, auditing, and a configurable command denylist. Requires no deployment or cloud setup.

An MCP server that lets AI agents manage virtual machines across local and cloud targets, with tools to create machines, run commands, transfer files, and clean up ephemeral instances via natural language.

Enables AI assistants to discover and manage Huawei Cloud resources such as ECS, VPC, CCE, RDS, VPN, OBS, and IAM through 149 structured read-only tools, plus a generic CLI tool for write operations that defaults to dry-run and requires explicit confirmation before destructive actions.

An MCP server that exposes the Huawei Cloud CLI as a single tool for AI assistants to discover and execute commands interactively via --help navigation, with built-in safety for destructive operations.

Python MCP server for Oasys GSA COM API, enabling users to interact with GSA structural engineering software via COM automation on Windows.

Enables AI agents to fetch Nebius cloud service documentation and execute Nebius CLI commands for managing cloud resources like compute instances and storage buckets through natural language interactions.

A Windows MCP workspace control center that manages connections, permissions, running tasks, and file change history, offering tools for file operations, command execution, screenshots, .NET and Godot workflows.

A secure, local communication runtime bridge that interfaces a cloud-based Large Language Model (Claude Desktop) with a local machine execution environment using the Model Context Protocol (MCP).

Enables AI assistants to remotely control multiple computers via MCP: run commands, manage files, install software, view and control screens, and execute parallel tasks across machines.

A remote Streamable HTTP MCP server that lets web clients like Claude.ai and ChatGPT manage cloud machines with OAuth login — creating, starting, pausing and deleting machines, running commands, reading and writing files, managing snapshots and public ports, and driving an optional Linux desktop via screenshots and input actions. Long-running work can be backgrounded and operations polled, so browser-based clients stay within their timeouts.

Enables cloud AI agents to safely work on a Mac through MCP-style JSON-RPC by providing approval-gated command execution, jailed file access, signed requests, and a tamper-evident audit log. Risky actions require on-device approval, while files remain confined to a chosen folder with recoverable writes and deletions.