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

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

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.

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.

A secure Model Context Protocol server that allows AI models to safely interact with Windows command-line functionality, enabling controlled execution of system commands, project creation, and system information retrieval.

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.

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.

Allows AI assistants to safely execute common Unix/macOS terminal commands through a controlled interface with comprehensive security features.

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.

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

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.