Provides controlled access to system shells (bash, PowerShell, etc.) with appropriate security measures to enable LLMs to execute commands while maintaining system security.
Enables interaction with Railway cloud platform through the CLI to manage projects, services, deployments, and environments. Supports creating projects, deploying templates, managing environment variables, and monitoring logs through natural language commands.
A Model Context Protocol server that provides secure command-line access to Windows systems, allowing MCP clients like Claude Desktop to safely execute commands in PowerShell, CMD, and Git Bash shells with configurable security controls.
An MCP server that implements Claude Code-like functionality, allowing the AI to analyze codebases, modify files, execute commands, and manage projects through direct file system interactions.
A Model Context Protocol server that enables controlling Nanoleaf smart lights through Warp terminal or any MCP-compatible client, providing tools for device discovery, authorization, and control of lights, brightness, colors, and effects.
A server that enables managing OPNSense firewalls through natural language interactions with Claude Desktop, supporting VLAN management, firewall rules configuration, and network interface queries.
A server that enables Claude to access and search through command-line journal entries, offering features like searching entries, listing tags, and viewing journal statistics.
Provides seamless integration with Tailscale's CLI commands and REST API, enabling automated network management and monitoring through a standardized Model Context Protocol interface.
Whistle MCP Server is a Whistle proxy management tool based on the Model Context Protocol (MCP) protocol, which enables AI assistants to directly operate and control local Whistle proxy servers. Through this tool, AI can help users manage rules, groups, values, monitor network requests, and replay a
A Model Context Protocol server that gives AI models access to your iTerm terminal session, allowing them to read output, write commands, and send control characters.
This MCP server enables users to execute shell commands in the current iTerm2 session through integration with Claude Desktop, facilitating seamless command execution via the Model Context Protocol.
A Model Context Protocol server that provides programmatic access to the Windows terminal, enabling AI models to interact with the Windows command line through standardized tools for writing commands, reading output, and sending control signals.
Provides Unix command documentation directly within Claude conversations, allowing users to retrieve help pages, man pages, and usage information without leaving the chat interface.
A secure server that enables AI applications to execute shell commands in specified directories, supporting multiple shell types (bash, sh, cmd, powershell) with built-in security features like directory isolation and timeout control.
A Model Context Protocol server that provides secure access to Doppler's secret management platform, allowing AI assistants to manage secrets, environment variables, and configurations through Doppler's API.
An MCP server that enables secure terminal command execution, directory navigation, and file system operations through a standardized interface for LLMs.
A server that provides a persistent Python REPL environment through the MCP protocol, allowing execution of Python code, variable management, and package installation.
A server that lets Claude desktop app execute terminal commands on your computer and edit files through Model Context Protocol, featuring command execution, process management, and advanced file operations.
A secure shell command execution server implementing the Model Context Protocol (MCP). This server allows remote execution of whitelisted shell commands with support for stdin input.
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.
Allows Claude to execute terminal commands on your computer and perform file system operations including surgical code editing with diff-based replacements.
A secure MCP server for Windows Subsystem for Linux environments, facilitating safe command execution with extensive validation and protection against vulnerabilities like shell injection and dangerous commands.
Enables Claude to manage multiple SSH connections, execute remote commands, and transfer files across servers. Supports secure authentication, default directories, sudo operations, and deployment automation with profiles for different project types.
A Model Context Protocol server that enables remote execution of shell commands across different operating systems, automatically handling platform-specific differences between Windows and Unix-like systems.
Provides quick access to local system utilities including time/date, hostname, public IP, directory listings, Node.js version, and port usage through an MCP server interface compatible with Cursor and other MCP clients.
A collection of Model Context Protocol servers that enable Claude Desktop to provide development assistance capabilities with filesystem, Git, shell command, and web search functionality without incurring API usage costs.
A distributable Model Context Protocol (MCP) server that exposes Dart SDK commands for AI-powered development. This server bridges the gap between AI coding assistants and Dart/Flutter development workflows by implementing the Model Context Protocol (MCP).
Shell and file edit capabilities tightly coupled to provide a powerful coding experience.
You can work with different modes: architect and code-writer for separate plan and implementation phase.
You can get it to invoke any cli command, e.g., compiling, type checking, linting, github cli, python
An MCP server that enables interaction with development containers through the devcontainers CLI, allowing users to start, run commands in, and execute arbitrary shell commands inside devcontainers.
A Model Context Protocol server that enables AI assistants to interact with iTerm2 terminals, allowing creation and management of terminal sessions, command execution, and reading terminal output.
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.
A server implementing Anthropic's Model Context Protocol (MCP) for Firebird SQL databases, enabling Claude and other LLMs to securely access, analyze, and manipulate data in Firebird databases through natural language.
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 secure server for executing terminal commands within predefined paths, allowing safe interaction by Large Language Models with operating system environments.
A server that enables secure interaction with remote SSH hosts through standardized MCP interface, providing functions like listing hosts, executing commands, and transferring files using native SSH tools.
An MCP server that allows secure execution of macOS terminal commands through Claude or Roo Code with built-in security whitelisting and approval mechanisms.
A TypeScript-based MCP server that enables Claude Desktop to perform file operations and retrieve system information, with built-in security features that restrict access to safe directories only.
A command-line interface server that provides unrestricted system access to Windows environments with SYSTEM-level privileges, allowing complete control over files, processes, and configuration settings.
A secure Model Context Protocol server that provides controlled filesystem access within predefined directories, enabling AI models to perform file and directory operations with strict path validation.
A TypeScript-based bridge between AI models and Android device functionality, enabling interaction with Android devices through ADB commands for tasks like app installation, file transfer, UI analysis, and shell command execution.
A Model Context Protocol server that enables clients to interact with a system terminal running in an Electron application, allowing for executing commands, managing terminal sessions, and retrieving output programmatically.
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.
An MCP server that enables secure execution of shell commands across Windows, macOS, and Linux with built-in whitelisting and approval mechanisms for enhanced security.
A Node.js/TypeScript MCP server that facilitates interactive communication between LLMs and users, allowing AI assistants to request user input, display notifications, and manage command-line chat sessions.
A Model Context Protocol server that provides Android Debug Bridge functionality for automating Android devices, enabling remote device management, screen operations, app management, file operations, and shell command execution.
An enhanced Windows CLI MCP server providing unrestricted system access capabilities, designed for trusted environments with full system access requirements.
An MCP server that allows users to list and kill operating system processes through natural language queries, making process management more intuitive across Windows, macOS, and Linux.
Exposes Cloudflare DNS, security, redirects and zone-settings functionality as structured tools that AI assistants like Claude Desktop can invoke directly.
A server based on the MCP framework that provides remote server management capabilities through SSH, supporting features like connection pooling, file transfers, and remote command execution.
A tool that allows penetration testing through Kali Linux commands executed via a Multi-Conversation Protocol server, supporting security testing operations like SQL injection and command execution.
Enables execution and management of Babashka scripts using the Model Context Protocol, offering features like caching, command history access, and configurable timeouts for enhanced scripting workflows.
Enables file and directory searching through the greply CLI tool with configurable search options like context lines, case sensitivity, and pattern matching. Provides direct access to powerful grep-like functionality from MCP-compatible clients.
A CLI command execution server that enables running shell commands with structured output, providing detailed execution results including stdout, stderr, exit code, and execution duration.
A local server that enables Claude Desktop to interact with your macOS Contacts and Messages apps, allowing you to search contacts and send iMessages through natural language commands.
A Model Context Protocol server that allows secure execution of pre-approved commands, enabling AI assistants to safely interact with the user's system.
A server that enables LLMs to manage Kubernetes clusters through natural language commands, wrapping kubectl operations to provide a simplified interface for common Kubernetes tasks.
A simple MCP server that provides waiting functionality to pause until other tasks finish, with progress reporting and support for CLI or HTTP server with SSE.
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 specialized MCP server for Claude Desktop that allows executing terminal commands for malware analysis with support for common analysis tools like file, strings, hexdump, objdump, and xxd.
A Model Context Protocol server that connects to Coreflux MQTT brokers, enabling AI assistants like Claude to manage Coreflux commands, actions, rules, and routes through natural language interactions.
An advanced SSH session manager that allows Claude to establish and manage multiple SSH connections, execute remote commands, and monitor connection health through the Model Context Protocol.
A Model Context Protocol server that enables AI assistants to execute PowerShell commands, retrieve system information, manage modules, and run scripts on Windows systems.
A comprehensive Node.js server implementing Model Context Protocol (MCP) that enables filesystem operations, process management, and terminal session handling with an enterprise-grade security approach.
Enables automated VPS initialization and management through SSH connections. Supports installing common services like Node.js, Nginx, and Redis, configuring domains with SSL certificates, and setting up GitHub CI/CD pipelines with deploy keys.
Enables interaction with Hyperbolic's GPU cloud, allowing users to view available GPUs, rent instances, establish SSH connections, and run GPU-powered workloads through natural language commands.
Enables managing Google Cloud Platform resources through natural language commands in Claude Desktop, supporting comprehensive operations across compute, storage, databases, networking, monitoring, and IAM without manual credential setup.
Enables executing terminal commands and managing files across different contexts: local system, remote SSH servers, and GitHub repositories. Provides comprehensive file operations, directory navigation, and multi-environment command execution capabilities.
A server that enables remote command execution over SSH through the Model Context Protocol (MCP), supporting both password and private key authentication.
A comprehensive Model Context Protocol server that enables AI assistants to interact with and manage Windows systems, providing capabilities for file system operations, process management, system information retrieval, registry operations, service management, network diagnostics, and performance monitoring.
An MCP server that provides secure access to Kali Linux cybersecurity tools through Claude's interface, enabling users to run Kali Linux commands directly from Claude Desktop.
A toolkit for managing Claude desktop app extension configurations, enabling features like Brave search, file operations, Git/GitHub integration, shell access, web scraping, HTTP requests, AWS documentation search, and Obsidian note management.
A Python implementation of the Model Context Protocol that allows applications to provide standardized context for LLMs, enabling creation of servers that expose data and functionality to LLM applications through resources, tools, and prompts.
A Model Context Protocol server that allows language models to manage Hetzner Cloud resources through structured functions, including servers, volumes, firewalls, and SSH keys.
Transform your local machine into a powerful code command center. Automate file handling, run terminal commands, and leverage AI to enhance your development workflows—all securely and instantly, without cloud latency.
PRIMS is a lightweight, open-source Model Context Protocol (MCP) server that lets LLM agents safely execute arbitrary Python code in a secure, throw-away sandbox.
An MCP server that enables interaction with Kubernetes resources through natural language interfaces like Goose CLI, allowing users to get, read, and patch Kubernetes resources.
Enables interaction with a persistent PowerShell session through LM Studio. Provides tools to run commands, manage directories, and handle environment variables while maintaining session state between calls.
An MCP server that wraps the Azure CLI.
As LLMs are very good at generating Azure CLI commands, this server allows your LLM to list resources, update/create/delete them, fix errors (by looking at the logs), fix security issues...
PhonePi MCP enables seamless integration between desktop AI tools and your smartphone, providing 23+ direct actions including SMS messaging, phone calls, contact management, snippet creation and search, clipboard sharing, notifications, battery status checks, and remote device controls.
A Model Context Protocol server that allows AI to run any Open Source tool via pkgx, enabling Claude to execute commands while maintaining read-only access to the filesystem.
A Model Context Protocol server that enables secure and structured interaction with Microsoft SQL Server databases, allowing AI assistants to list tables, read data, and execute SQL queries with controlled access.
A comprehensive Model Context Protocol server that enables Claude Code to perform expect/pexpect-style automation for interactive programs, supporting complex interactions with terminal programs, SSH sessions, databases, and debugging workflows.
Simple MCP Runner makes it effortless to safely expose system commands to language models via a lightweight MCP server—all configurable with a clean, minimal YAML file and zero boilerplate.
This project implements a customizable MCP server to execute RTE protocol.
The intention of this project is to be easily extensible. You can add your own MCP tools by using RteUtils class.
Also is needed to define the RTE connection parameters and the RTE flow in a yaml format.
Connects AI assistants to NVIDIA Jetson Nano systems for edge computing management, enabling natural language control of AI workloads, hardware optimization, and system administration tasks.
Gives AI assistants direct access to macOS clipboard - letting Claude copy generated code, text, or files straight to your clipboard for pasting anywhere on Mac.
Enables users to save frequently used long prompts as simple shortcuts like /review or /debug. Transform 500-word prompts into 8-character commands across any MCP-compatible platform.
Enables comprehensive Windows system management through Claude Desktop, including PowerShell/CMD execution, file operations, archive handling, Git tools, network testing, and system monitoring. Provides a complete toolkit for Windows automation and administration tasks.
A comprehensive production-ready MCP server with AI integration, plugin management, and web-based administration. Features multi-database support, RAG capabilities, SSH/SFTP access, and a built-in plugin hub for managing the MCP ecosystem.
Enables LLM agents to execute arbitrary Python code in secure, isolated sandbox environments with automatic dependency management and file handling. Each code execution runs in a fresh virtual environment that gets destroyed after completion, providing safe and reproducible Python code execution.
Enables AI assistants to fully interact with console applications, monitor output, detect errors, and automate terminal workflows across multiple sessions. Similar to how Playwright works for web browsers but for command-line interfaces.
A Model Context Protocol server that provides token-aware directory exploration and file analysis for Large Language Models, enabling intelligent codebase navigation with features like directory scanning, file content extraction, and token usage statistics.
A Model Context Protocol (MCP) server that enables real-time, interactive AI chat with Selector AI through a streaming-capable server and Docker-based client communicating via stdin/stdout.
Convex’s MCP server lets you introspect tables, call functions, and read/write data seamlessly. Agents can generate one-off queries safely—thanks to Convex’s sandboxed queries, ensuring data integrity. Perfect for AI automation, real-time apps, and dynamic data access.
A Model Context Protocol server that enables AI assistants to interact with Kubernetes clusters through natural language, supporting core Kubernetes operations, monitoring, security, and diagnostics.
A proxy server that enables AI assistants to run and interact with command-line applications like Expo through the Model Context Protocol (MCP), capturing logs and allowing keypress forwarding.
A bridge that allows Claude to communicate with locally running LLM models via LM Studio, enabling users to leverage their private models through Claude's interface.
Enables secure execution of shell commands and file operations within isolated Docker containers. Provides process management, interactive input handling, and comprehensive file system operations for containerized development environments.
Enables control of Android devices via ADB for automation and testing. Supports app management, screen capture, UI analysis, and input simulation through natural language commands.
A lightweight service that enables AI assistants to execute AWS CLI commands through the Model Context Protocol (MCP), allowing AI tools to retrieve AWS documentation and interact with AWS services.
Enables SSH connections and remote command execution with persistent session management and real-time browser-based terminal monitoring. Supports multiple simultaneous SSH sessions with command history tracking and live WebSocket streaming of terminal output.
A lightweight Model Context Protocol server that provides an in-memory key-value store with get, set, delete, list, and clear operations for MCP-compatible AI assistants and clients.
An enhanced MCP server that grants AI assistants the ability to execute terminal commands on a user's system with improved security controls, designed for use in controlled environments.
Enables AI agents to interact with Windows operating systems through native UI automation, file navigation, application control, and system commands. Provides seamless integration between LLMs and Windows environments for tasks like clicking, typing, launching apps, and capturing desktop state.
Enables AI assistants to execute predefined developer commands and manage long-running processes through a JSON configuration file. Supports both one-shot commands and daemon processes with automatic process lifecycle management.
A bridge between AI assistants and MikroTik RouterOS devices, allowing natural language interaction to manage network configurations including VLANs, firewalls, DNS settings, and more.
The m2m-mcp-server-ssh-client provides a unified MCP server interface, securely connecting via SSH to the m2m-mcp-server-ssh-server back-end which aggregates MCP servers. This setup offers secure, single-point access to diverse remote tools using robust SSH key-based authentication.
An MCP server that allows managing Docker containers through natural language, enabling users to compose, introspect, and debug containers without running commands themselves.
Enables secure file transfer operations with remote Linux and Windows systems via SCP/SFTP protocols. Supports uploading, downloading, listing, and managing files on remote servers through SSH authentication.
A comprehensive utility MCP server that enables AI assistants to execute system commands, manage files, integrate with Google Sheets and Tasks, perform AI-powered text processing, and load dynamic prompts from markdown files.
Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.
A secure, container-based implementation of the Model Context Protocol (MCP) that provides sandboxed environments for AI systems to safely execute code, run commands, access files, and perform web operations.
Enables AI agents to interact with Windows operating systems by providing tools for UI automation, file navigation, application control, and system operations. Works with any LLM to perform tasks like clicking, typing, launching applications, and executing PowerShell commands through native Windows integration.
A custom Model Context Protocol server that gives Claude Desktop and other LLMs access to file system operations and command execution capabilities through standardized tool interfaces.
A powerful tool for exploring, searching, and managing your shell command history through the MCP (Model Control Protocol) interface. This project allows you to easily access, search, and retrieve your previously executed shell commands.
Enables SSH connection management with remote command execution and file transfer capabilities, plus App Store Connect integration for managing applications, team members, and TestFlight operations.
Enables AI assistants to manage MySQL databases through natural language commands. Supports database operations, table management, data queries, and import/export functionality with built-in security features.
Enables secure remote execution of Rails console commands over SSH for read-only operations, mutation planning, and executing approved changes in a deployed Rails environment.
A Python framework that enables secure hardware control through the Model Context Protocol, allowing AI agents and automation systems to interact with physical devices across multiple platforms.
A Model Context Protocol server that enables seamless execution of commands, Python code, web content fetching, and reusable task management with secure credentials handling.
Secure network administration MCP server that enables AI assistants to safely execute networking commands like SSH, ping, and DNS lookups inside a Docker container sandbox.
A server that enables programmatic interaction with an already running Abaqus/CAE GUI application, allowing users to execute Python scripts and retrieve message logs through the Model Context Protocol (MCP).
A Model Context Protocol (MCP) server that enables LLMs to interact directly with MongoDB databases, allowing them to query collections, inspect schemas, and manage data seamlessly through natural language.
A lightweight FastAPI server that allows remote execution of shell commands on Windows, with real-time output streaming and security features like API key authentication and rate limiting.
A Model Context Protocol server that enables interacting with the Homebrew package manager on macOS through natural language, supporting commands like install, search, info, and doctor.
Enables Windows program management through MCP, including listing installed programs, uninstalling software, force removal, and cleaning residual files. Supports generating detailed Markdown reports of system programs with smart categorization and statistics.
A high-performance desktop application that implements the Model Context Protocol (MCP), providing both server and client capabilities for tool discovery, usage, and management through a modern PyQt6 interface.
A server that exposes Pi-hole functionality as tools for AI assistants, allowing them to retrieve local DNS settings and query history through natural language.
Provides a bridge between large language models and the Metasploit Framework, enabling AI assistants to access and control penetration testing functionality through natural language.
A secure protocol server that allows AI assistants to safely interact with Ubuntu systems through controlled file operations, command execution, package management, and system information retrieval.
A Model Context Protocol server that provides access to Kuzu databases. This server enables LLMs to inspect database schemas and execute queries on provided kuzu database.
ht-mcp is useful for enabling Agents to use terminals (e.g. bash, zsh, fish) in the same way a human does.
It solves the challenge of agents stalling when they encounter interactive terminal commands.
A secure MCP server that provides controlled ShellJS access for LLMs, enabling AI systems to safely execute shell commands and interact with the filesystem within a configurable security sandbox.
An MCP server that allows AI assistants like Claude to execute terminal commands on the user's computer and return the output, functioning like a terminal through AI.
Enables secure remote access operations through SSH, SFTP, rsync, VPN, and tunneling with enterprise-grade policy enforcement and audit logging. Provides AI assistants with secure, policy-driven access to remote systems while maintaining comprehensive audit trails and zero-trust security.
An MCP (Multi-Agent Conversation Protocol) server that enables interaction with Google's Managed Service for Microsoft Active Directory through its OpenAPI, allowing users to manage identity resources through natural language.
Problem: MCP clients can't efficiently use Xcode CLI tools because the build and simulator listing commands return more than 50k tokens, exceeding MCP limits. Solution: MCP tooling using progressive disclosure with intelligent caching.
A Model Context Protocol server that provides secure curl command execution capabilities, allowing AI assistants to make HTTP requests with configurable parameters and built-in security protections.
A TypeScript application that allows Claude to safely execute bash commands with security safeguards including whitelisted commands, directories, and comprehensive logging.
An MCP server that enables Claude to generate and execute AWS CLI commands, allowing users to manage AWS resources through natural language conversations.
A Python-based template for creating modular command center servers using the Mondel Context Protocol that provides a structured foundation for building scalable applications with mathematical operations and modular arithmetic functions.
A secure MCP wrapper for Anthropic Claude Code that eliminates the need for permission flags while preserving full CLI functionality and working seamlessly with MCP-compatible IDEs.
A server that provides remote binary analysis capabilities through IDA Pro's headless mode, allowing users to manage and manipulate functions, variables, and other binary elements via the Multi-Client Protocol.
An MCP Server that enables natural language interaction with the Open Policy Agent REST API, allowing users to manage policies, decisions, and data through conversational interfaces.
An MCP server that enables coding agents to execute and manage long-running shell commands asynchronously with capabilities for process monitoring, interaction, and lifecycle management.
Enables seamless SSH operations including secure connections, file transfers, interactive shell sessions, and Docker container management on remote servers. Supports both password and SSH key authentication with credential management and connection pooling.
A demo MCP server that enables users to interact with various tools through natural language, including note management, weather queries, calculations, file operations, and shell commands. Uses Ollama for intent detection and structured command parsing from free text input.
A server implementation for the Model Context Protocol (MCP) that allows Claude AI to execute commands through a command-line interface, enabling direct system interactions from within Claude.
An MCP server for integrating AI models with client applications, allowing for structured interactions with APIs using command-line arguments for authentication and configuration.
A robust SSH server facilitating secure remote command execution with TMUX session management, multi-window support, and smart session recovery for improved AI-human interaction.
A Python-based server that enables AI assistants to interact with an Unraid server through the official Unraid GraphQL API, providing read-only access to system information, Docker containers, VMs, storage, and more.
Enables AI assistants to securely execute shell commands on local machines through an SSH interface with session management, command execution, and sudo support.
An MCP (Model Context Protocol) server implementation using HTTP SSE (Server-Sent Events) connections with built-in utility tools including echo, time, calculator, and weather query functionality.
A FastMCP server that enables AI agents to safely execute shell commands, run code in Python/Node.js/Go, and install packages, all packaged in Docker for secure deployment.
A simple MCP server that allows running terminal commands with output capture, enabling command execution on the host system from MCP-compatible clients like Claude Desktop.