"Prompt Enhancer MCP Search" matching MCP servers:

Runs AI-generated code in secure Firecracker microVMs with opt-in network policy enforcement, PII scanning, prompt injection defense, and audit logging. Exposes MCP tools for running commands, managing files, and the full sandbox lifecycle.

Enables AI assistants to interact with Cisco routers and switches over serial console connections, handling prompt detection and pagination.

Wraps the copilot CLI into MCP tools, allowing third-party MCP clients to invoke Copilot through prompt and command tools.

MCP server for remote machine operations via SSH, providing a single tool to execute any shell command on remote machines with real-time progress streaming.

Enables AI assistants to execute AWS CLI commands and retrieve service documentation through the Model Context Protocol. It supports Unix pipes for output filtering and provides pre-defined prompt templates for common cloud management tasks.

Provides advanced iTerm2 terminal automation using Python API integration, enabling AI assistants to create and manage terminal sessions, split panes, execute commands, broadcast to multiple panes, and monitor terminal state in real-time.

A modern MCP server that provides interactive graphical user interface, terminal command execution, and AI-powered prompt enhancement for MCP-compatible clients.

Dynamically exposes CLI/bash commands as MCP tools and creates structured AI prompt templates through simple YAML configuration files, enabling users to transform any command-line tool into an MCP-compatible interface without writing code.

A powerful MCP server that brings the skills.sh ecosystem directly to your AI agents, enabling effortless discovery, installation, and management of skills.

Enables launching Claude Code in a specified project directory by opening a new terminal session with optional initial prompt.

Companion MCP server for the OllamaDev Android app, providing 36 tools for SDLC phases including filesystem, code intelligence, build, sprint workflow, and agentic self-prompt via a local Ollama model.

A single-purpose MCP server that lets an AI assistant run commands over SSH on a fixed, pre-configured host only, with an explicit per-call confirmation gate before execution.

A lightweight MCP server that enables AI assistants to execute local development tools and retrieve system status with low latency over stdio or HTTP.

Ephemeral MicroVM-isolated code execution for AI agents. Run Python, Node, or bash — fresh hardware-isolated VM per call, hard-purged after. No state persists between calls.

MCP server for overseer.nvim — gives any MCP-capable coding agent running inside Neovim (Claude Code, Codex, Gemini CLI, opencode) the same visibility and control over tasks the user has: list, run, tail, restart, stop. Agent-started dev servers land in the user's own task list instead of becoming invisible orphaned processes.

interactive-mcp

Interactive, streaming SSH tool for LLM agents that enables spawning long-running remote commands with live line-by-line output, signal handling, stdin input, and SFTP file transfer.

An MCP front-end for AnB. The tool surface is "use-don't-reveal": no tool returns a plaintext secret. Reveal paths require a TTY the server doesn't have, so the no-reveal guarantee is structural, not prompt-based — it holds even against a prompt-injected agent. Runs as a dedicated, narrowly-scoped AnB identity; exec is default-deny (only allowlist rules tagged scope=mcp run); command output

A persistent Python REPL MCP server for AI agents with stateful execution, real timeouts, crash isolation, and an MCP bridge to call other tools in the project.

Enables LLMs to interact with remote servers via SSH, supporting command execution, file upload/download, and directory listing.