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

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.

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.

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

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.

Provides a structured map of 120 practical AI prompts across 6 business domains, enabling users to quickly generate complete prompts for specific tasks using slash commands or tools.

Generates and manages slash commands for AI coding assistants like Claude Code and Cursor, supporting both interactive CLI and programmatic MCP access.

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.

Enables AI agents to inspect Figma selections, navigate pages, render previews, generate starter code, and submit user-approved canvas edits through a local bridge.

Enables executing sbt commands in a persistent shell session for Scala projects, avoiding startup overhead.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Enables interaction with Microsoft Copilot Studio Agents directly from VS Code through the Direct Line 3.0 API. Supports starting conversations, sending messages, retrieving history, and managing conversation lifecycle with your custom agents.

Enables command palette argument parsing and deep-link shortcut dispatch for Raycast/Alfred, allowing developers to route command invocations and execute keyboard-first productivity workflows through MCP.

Converts VSCode into an MCP server that enables external clients to remotely execute VSCode internal commands, query workspace information, and interact with the editor through HTTP streaming. Built on the FastMCP framework with security controls and real-time monitoring.

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.

A flexible MCP server that enables users to define and execute arbitrary command-line tools through secure, JSON-based configuration files. It features parameter sanitization, directory scoping, and execution controls to safely integrate CLI utilities with Claude Desktop.

Enables parsing command palette arguments and dispatching deep-link shortcuts for Raycast and Alfred workflows, with deterministic execution and structured telemetry via MCP.

An MCP Server that provides a conversational interface to the UK Open Banking account information API, allowing agents to interact with bank account data through natural language commands.

Provides safe shell command execution capabilities for AI agents and tools like VS Code Copilot through a whitelist-based filtering system.

MCP server that exposes GDB debugging as tools. An AI assistant can set breakpoints, run programs, step through code, inspect variables and memory, and examine registers — all via structured tool calls. Reverse debugging with rr is also supported.