"Shelly" matching MCP servers:

Enables Claude to generate and edit images through a live-discovered model catalog, including masked edits and exact output sizes, with browser-based sign-in and cost-annotated saved results. It runs locally over stdio and stores images in a configurable directory.

Enables Claude Code and Claude Desktop to access Hansung University’s LMS (Cosmos) for assignment, quiz, VOD, and course-material workflows, including deadline lists, downloading assignments and materials, weekly summaries, and local lecture transcription, without submitting work.

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

Enables AI agents to read tmux pane content on-demand, providing context-aware assistance during interactive terminal sessions.

Enables executing local commands via an argv-based tool with optional non-interactive sudo, command allowlisting, and filesystem write confinement using Bubblewrap.

Enables execution of bash commands with support for timeouts and background jobs, allowing file operations, build commands, system inspection, and long-running tasks.

Allows executing shell commands within a secure Docker container through Claude's MCP interface, providing Kubernetes tools and isolated environment without host Docker daemon access.

An MCP server that allows secure execution of macOS terminal commands through Claude or Roo Code with built-in security whitelisting and approval mechanisms.

An MCP server that enables secure execution of shell commands across Windows, macOS, and Linux with built-in whitelisting and approval mechanisms for enhanced security.

Enables agents to interact with CLI applications like vim, htop, and gdb by sending key inputs and capturing terminal output through tmux sessions.

A lightweight MCP server that provides AI assistants with access to a system's terminal through a secure terminal tool. It enables users to execute shell commands and receive stdout, stderr, and exit codes directly within an MCP-compatible client.

MCP server that protects shell, file, database, git, and HTTP operations with per-agent permission rules

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

A secure MCP server for shell operations, terminal management, and process control, enabling AI assistants to safely execute commands and manage interactive sessions.

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

A secure MCP server for executing whitelisted shell commands with resource and timeout controls, designed for integration with Claude and other MCP-compatible LLMs.

Enables an AI agent to drive an Android app under development on a local emulator or connected device through adb, observing the screen and performing taps, swipes, text entry, key presses, waits, screenshots, logcat and crash inspection. It is restricted to debug builds installed via Run in Android Studio, so agents can exercise only the app being developed.

Cross-platform command execution server that intelligently adapts shell commands to the operating system and detects project-specific package managers (npm/bun, pip/poetry), with runtime-editable command mappings per project.

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