"Information about SSH (Secure Shell)" matching MCP servers:

Enables AI agents to manage SSH environments, run remote commands, transfer files, and diagnose connectivity issues for secure server automation.

A tool for detecting and cleaning Java memory shells via local or SSH remote execution. It enables AI agents to scan Java processes, analyze suspicious class code, and safely remove memory shells after user confirmation.

Enables AI assistants to execute shell commands and manage long-running processes within persistent tmux sessions across isolated workspaces. It features a dual-window architecture to separate raw command execution from interactive terminal output.

A server that uses the Model Context Protocol (MCP) to allow AI agents to safely execute shell commands on a host system.

MCP server for agent-native secrets management that stores encrypted secrets with AES-256-GCM, issues short-lived scoped tokens, and injects secrets into requests server-side so agents never handle plaintext credentials.

Enables secure multi-agent property operations with delegated authorization, human approvals, and MCP tool execution through Ruhusa policy enforcement.

Takes a plain-language automation goal and returns a recommended tool stack, command, validation checks, recovery guidance, and a machine-readable package contract for agents and builders.

A Node.js MCP server that wraps the Claude Code CLI to enable parallel execution of AI requests for code generation, editing, and refactoring. It features built-in retry logic, model selection, and JSON validation for structured outputs.

A template for creating secure, remotely accessible MCP servers with OAuth authentication and Cloudflare ZeroTrust Access protection. Enables deployment of containerized MCP servers that can be safely accessed by Claude Desktop and other MCP clients through authenticated connections.

An improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.

Enables any MCP client to execute DeepSeek Harness agents and shell commands through standard MCP tools, bridging multi-agent capabilities with sandboxed execution.

Connects MCP-capable agents to the DTU Computing Center cluster for submitting, monitoring, and chaining LSF jobs without shell access.

MCP server that evaluates Terraform plans, shell commands, and tool calls to assess recoverability and risk before execution, enabling safe AI agent actions.

Instant secure Full Stack Apps and AI Agents

Secure remote MCP server for giving AI agents access to ZERNO project briefs, tasks, and execution context.

Enables task state management for AI agents with secure credential handling and optional client-side encryption via a local stdio proxy.

DockaShell is an MCP server that provides AI agents with isolated Docker containers for persistent shell access, file operations, and full audit trails, enabling autonomous development and self-evolving workflows.

Bridges the ChatGPT web UI to a local development environment over MCP, letting the model read and patch files, run real shell commands and terminals, execute tests, and control the desktop (screen, mouse, keyboard, clipboard) within user-approved folders. It adds parallel workers, goal/loop long-task control, plugin tools, and a security-hardening layer with risk-tiered shell policy, audit logging, and credential sanitization.

Enables AI agents to assess the risk of shell commands before execution, providing a probability of harm and a suggested action (auto, warn, or confirm).

Enables Cursor agents to route subagent tasks and gate reads, writes, and shell commands through fast TypeSafe Jev judgments, exposing tools for choice, scoring, and noul decisions.