"A search engine platform" matching MCP servers:

MCP server that gives AI agents isolated, named Linux computers with stable IDs and lifecycle control. Supports multiple backends like Docker, Fly Machines, Modal, and E2B, with a dashboard for managing sandboxes.

Cross-platform MCP server for policy-controlled command execution on Linux and Windows, with no SSH dependency.

Production-ready, zero-knowledge AI DevOps deployment, infrastructure provisioning, self-healing execution, and persistent documentation engine for VPS servers.

Advanced shell command execution for AI agents — a Model Context Protocol (MCP) server with security policy engine, process lifecycle management, bounded output capture, POSIX signals, and token-efficient responses.

Provides direct, unsandboxed local machine access via filesystem, Python, Node.js, and shell commands for MCP agents.

A cross-platform MCP server providing secure, user-approved privilege escalation for Cursor agents, with tools for running commands as admin on Windows and root on Linux.

Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.

Enables natural language SSH server management via Claude Code, allowing users to read logs, check services, run commands, and transfer files across multiple servers.

Bridges a remote, cloud-hosted agent to your local machine, exposing Pi's coding tools (read, write, edit, ls, grep, find, bash, powershell) rooted at a directory you choose. It also adds a human channel so the agent can message, question, and wait on you through tool calls instead of a platform chat UI, with OAuth 2.1 or bearer-token authorization and no persistence between runs.

MCP server that provides AI access to a local terminal, enabling command execution, directory navigation, and system operations with persistent session state.

A comprehensive MCP server that enables AI models to perform local file operations, command execution, and task management across multiple platforms. It features advanced capabilities like row-level file editing, directory searching, and system monitoring with built-in security filters.

Enables interaction with Railway cloud platform through the CLI to manage projects, services, deployments, and environments. Supports creating projects, deploying templates, managing environment variables, and monitoring logs through natural language commands.

Enables any MCP-compatible AI, whether in the browser or running locally, to create and edit projects, run terminal commands and long-running jobs, and optionally use Docker, all guarded by a policy engine, workspace jail, authentication, and audit logging.

About AI/ML-powered diagnostic engine for SRE Observability on Konflux and OpenShift. It uses the Model Context Protocol (MCP) and 40+ tools to analyze logs, metrics, and traces, enabling automated RCA and predictive analysis.

Maps shell commands to standard MCP tools using single-file YAML specs.

Terminal\[X]MCP is a Model Context Provider (MCP) server that enables intelligent terminal automation through a multi-agent system with distributed specialized roles for command execution, security validation, and real-time monitoring.

Enables managing Google Cloud Platform resources through natural language commands in Claude Desktop, supporting comprehensive operations across compute, storage, databases, networking, monitoring, and IAM without manual credential setup.

A simple MCP server that provides waiting functionality to pause until other tasks finish, with progress reporting and support for CLI or HTTP server with SSE.

Connects Claude Desktop to Windows Calculator, enabling accurate mathematical calculations using Windows' native PowerShell calculation engine.

A Model Context Protocol server that enables remote execution of shell commands across different operating systems, automatically handling platform-specific differences between Windows and Unix-like systems.