"Information or resources related to 'Prompt'" matching MCP servers:

Schedule Windows desktop reminders from Claude Desktop using PowerShell and Windows Task Scheduler. Supports one-time and recurring reminders that persist across reboots.

Converts any Python Click or Typer CLI into an MCP server automatically — zero-code transformation that introspects CLI commands and exposes them as MCP tools.

An MCP server that lets Claude query Google's Gemini CLI as a sub-agent. Get second opinions, verify information, and cross-reference answers between AI models.

MCP server that routes Claude Desktop chat into Claude Code, enabling headless execution and terminal handoff with session continuity.

Enables AI agents to securely connect to and manage remote servers via SSH, with tools for running commands, file operations, log inspection, service management, and system monitoring under configurable access controls and audit logging.

Enables AI assistants to diagnose, troubleshoot, and manage PC settings on Windows, macOS, and Linux through natural language commands.

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

Wraps Kali Linux penetration testing tools for authorized security assessments, driven by a local LLM via LM Studio.

A simple MCP server that exposes a terminal tool, allowing AI agents to execute shell commands.

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

Executes privileged commands with mandatory human approval via a TUI prompt, supporting local and remote execution through sudo.

A production-ready MCP server that enables AI assistants to execute shell commands, manage files, monitor system resources, and automate complex workflows with advanced features like stock tracking and web automation.

Enables AI assistants to understand lab topologies, follow operational principles, and interact with real network devices through observable terminals while keeping private access information hidden.

Enables AI to execute registered system commands across platforms using a stable program + args interface, without requiring shell-specific syntax or tool discovery.

Exposes a Kubernetes cluster to MCP-compatible AI clients, enabling read-only and optional write operations on cluster resources like pods, deployments, and namespaces through natural language.

Enables MCP clients to store encrypted SSH host credentials and execute remote commands over pooled SSH connections, including single commands, prompt-answering interactive runs, and multi-step playbooks. Hosts can be listed, created, updated, and deleted through tools, with credentials kept server-side and never echoed back.

Enables coding agents to control and inspect a running Herdr terminal session, including listing workspaces, tabs, panes, and agents, reading pane output, prompting agents, sending keys and commands, waiting for output or state, and splitting or closing panes.

Enables Claude Desktop to control serial-port devices like network craft ports, radios, rotators, and microcontrollers by sending commands and reading responses until a prompt or available output.

A production-grade TypeScript starter for building Model Context Protocol servers, supporting stdio and Streamable HTTP transports with modular tools, resources, and prompts.

A minimal MCP server that exposes a single tool to query local hardware information (OS, CPU, memory, architecture).

MCP server for terminal control enabling AI to manage terminal sessions via iTerm2 or tmux, with features like screen reading, keyboard/mouse input, and background execution.

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.

An MCP server that intelligently filters and compresses tool outputs to reduce context window usage, saving up to 90% of tokens by removing noise such as passing tests and redundant information.

MCP server that enables natural language listing, unpacking, and exporting of Unreal Engine game resources via umodel, including AES-encrypted pak support.

Enables MCP-capable agents to discover or connect to a phone-hosted MCP service and forward SSH command execution, session, and sudo command tools over stdio.

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

A TypeScript MCP server template with Zod validation, dual transport (stdio/HTTP), and modular architecture for building MCP-compatible tools, resources, and prompts.

Lets AI coding agents read an outline of a large file or a digest of noisy command output instead of the full text, while every hidden line stays retrievable on disk through a run handle. Agents can request only the line ranges, slices, or grep matches they need and list recent runs, cutting token spend without losing information.

Provides Ubuntu system information (CPU, memory, disk, network, services, processes) to Bob via natural language queries.

Enables MCP-based communication with existing interactive terminal channels, such as shells or agent CLIs, by listing, reading, writing text, and sending control signals to tmux sessions without creating or managing them.