"Using a terminal like PowerShell or Git Bash" matching MCP servers:

Enables executing Bash commands, pipelines, and scripts across Windows, macOS, and Linux via MCP, with support for multiple runtimes, timeouts, working directories, and stream capture.

A framework for building Model Context Protocol (MCP) servers using pure Bash scripts, allowing for the creation of tools, resources, and prompts without Node.js or Python runtimes. It provides a complete implementation of the MCP spec compatible with any environment running Bash 3.2+ and jq.

An MCP server that enables the execution of arbitrary bash commands and returns detailed output including stdout, stderr, and exit codes. It supports customizable working directories, execution timeouts, and environment variable configurations.

Enables secure SSH command execution on remote servers and local PowerShell automation through Claude Desktop. Features enterprise-grade security with SSH key authentication, network scanning, and comprehensive logging for Windows and Linux system administration.

Enables executing bash commands with foreground/background support, timeouts, environment control, and OpenTelemetry observability.

BTC Decision Terminal for AI Agents — live vault-backed Hyperliquid signals, on-chain proof, cross-chain swap. MCP server hosted at https://hypernatt.com/mcp/protocol. 11 tools. Verify in real time.

A server that enables AI assistants to execute terminal commands and retrieve outputs via the Model Context Protocol (MCP).

Enables AI agents to intelligently organize Git changes into clean, focused commits with autopilot mode or surgical line-by-line staging precision. Supports partial staging of untracked files and handles large diffs with smart truncation.

A Model Context Protocol server that enables LLMs to interact with Git repositories, providing tools to read, search, and manipulate Git repositories through commands like status, diff, commit, and branch management.

An MCP server that allows AI models to execute system commands on local machines or remote hosts via SSH, supporting persistent sessions and environment variables.

A secure server for executing terminal commands within predefined paths, allowing safe interaction by Large Language Models with operating system environments.

A secure terminal execution server that enables controlled command execution with security features and resource limits via the Model Context Protocol (MCP).

A Model Context Protocol server that enables LLMs to interact with Git repositories, providing tools to read, search, and manipulate Git repositories through commands like status, diff, commit, and branch operations.

Enables MCP clients to inspect and modify local git repositories by running commands such as status, log, diff, add, commit, branch, and stash. Push operations are not performed locally; instead diffs are sent to a configurable HTTP API that handles the upload, with all other remote git commands blocked.

Provides cross-platform terminal access through MCP, enabling AI assistants to create and manage interactive terminal sessions, execute commands, and capture visual snapshots on Windows, Linux, and macOS.

A secure and scalable Git MCP server giving AI agents powerful version control for local and (soon) serverless environments.

Enables AI assistants to create and manage persistent terminal sessions that continue running even after disconnection, with features like smart output management, web UI visualization, and automatic bug fixing with Codex integration.

Interactive, persistent terminal sessions for AI assistants via Model Context Protocol.

Enables an agent to run shell commands through a JupyterLab/JupyterHub-hosted terminal, using REST API and WebSocket via Selenium for session handling, when SSH is not available.

Provides AI agents with persistent, interactive pseudo-terminal sessions for running CLI tools, SSH, and AWS SSM, including support for prompts, concurrent commands, and a live web TUI.