"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.

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

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 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.

MCP server that integrates the LINE Messaging API to enable AI agents to send messages and manage LINE Official Accounts.

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 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.

MCP server for managing Markdown-Driven Task Management (MDTM) files with task, parent task, environment, and workflow management, enabling structured development workflows.

Enables remote shell command execution and file operations with restricted/unrestricted modes, background tasks, safe editing, and code search.

Enables autonomous agents to run shell and subprocess commands through a guardrail that blocks destructive system mutations, path traversals, and reverse shells. It also adds prompt-injection detection, spend circuit breakers, loop detection, and privacy sanitization so agent execution stays within safe, budgeted bounds.

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.

Provides semantic search over ScriptingApp documentation by converting Markdown/MDX files into a LlamaIndex vector store. Supports multi-language indexing and enables natural language queries against technical documentation through MCP tools.