"Bash shell scripting and command line resources" matching MCP servers:

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

This server enables Claude to execute shell commands, read and edit files, and perform git operations on the host machine via a remote MCP endpoint.

Sandboxed Bash for Agents. Full state capture on every command.

Enables execution of bash commands via MCP, allowing clients to run shell commands and set a working directory.

Enables MCP-compatible agents to execute bash and subprocess commands through a zero-dependency sandbox guard that blocks destructive system mutations, path traversals, reverse shells, and other unsafe execution patterns.

Exposes WSL bash as a structured tool to MiniMax Code, returning stdout, stderr, exit code, duration, and classification from a single call. Adds command safety classification, audit logging with rotation, concurrency limits, and binary discovery for agents running shell commands.

Enables executing shell commands without permission prompts, including running commands and managing background processes.

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.

Enables agents to run Bash commands or argv on a target node, manage long-running jobs, and search files with ripgrep through DreamMate, returning native MCP structuredContent and JSON.

An MCP server for spawning and managing bash commands asynchronously. Run multiple shell commands in parallel and check their progress independently.

Enables running shell commands on the local machine via MCP, using bash.

Enables secure execution of shell commands through a dynamic approval system that prompts for user authorization on first use, with persistent command storage and comprehensive audit logging.

Enables AI models to safely execute pre-defined Linux shell commands with a whitelist mechanism, restricting execution to allowed commands only.

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.

MCP server that vets LLM-emitted shell commands BEFORE execution — detects rm -rf nested deep in chains, package-manager glob removal (apt remove 'nvidia'), dd/mkfs filesystem destruction, chmod 777 / chown -R privilege blast, network-exfil via curl | bash, chained shutdown/reboot, git destructive ops. 30 detection rules across 8 families. Sub-second, local, free, MCP-native.

Sandboxed bash execution MCP server for AI agents, using an in-memory virtual filesystem overlay to prevent real filesystem damage, with configurable network access, timeouts, and optional Python/JS runtimes.

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.

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

A Node.js implementation of the Model Context Protocol that provides secure shell command execution capabilities, allowing AI models like Claude to run shell commands in a controlled environment with built-in security measures.