Enables AI assistants to perform network diagnostics by exposing ping and traceroute as callable MCP tools, allowing them to check host connectivity and trace network paths.
A stateless MCP server that wraps the headless Gemini CLI, providing tools to send prompts to Google's Gemini models and receive text responses. It supports both simple prompts and prompts with contextual information.
Enables Claude Code to orchestrate AI team tasks by delegating simple work to free models (Mimo, OpenCode) and using Claude for planning and review, all via MCP tools like command execution and AI queries.
Read-only MCP server for TrueNAS Scale debugging, providing k3s tools for kubectl operations and whitelisted midclt calls for system info, apps, and pools.
Resolves desktop and brand icons to local file paths for use in Waybar, Rofi, scripts, and AI agents via an MCP stdio server with tools for resolve, prefetch, cache, sources, packs, and overrides.
A simple MCP server that allows accessing and executing shell commands on a VM machine through a web-based terminal interface, with automatic tunneling to make the VM accessible from anywhere.
Studio MCP transforms any CLI command into an AI tool by using a simple template syntax to define input schemas and arguments. It enables AI agents like Claude and Cursor to execute local scripts and system commands through a dynamically generated Model Context Protocol server.
A self-contained, dependency-free MCP server that provides utility tools for time, date, mathematical calculations, and shell command execution. It supports remote connectivity through SSE and is designed for easy deployment via Docker.
An MCP server that gives AI assistants full SSH/SFTP remote operations — session management, command execution, interactive shells, file transfers, port forwarding, and system diagnostics.
A minimal MCP server providing basic calculator operations (add, echo) and Android device management tools (list connected devices and available emulators via ADB).
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.