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 secure MCP server for executing whitelisted shell commands with resource and timeout controls, designed for integration with Claude and other MCP-compatible LLMs.
An MCP server that enables secure terminal command execution, directory navigation, and file system operations through a standardized interface for LLMs.
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.
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 server that enables Claude to access and search through command-line journal entries, offering features like searching entries, listing tags, and viewing journal statistics.
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 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 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 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.
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.
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.
Allows Claude to execute terminal commands on your computer and perform file system operations including surgical code editing with diff-based replacements.
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.
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 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 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 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.
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.
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.
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.
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.
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.
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 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 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.
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
Provides seamless integration with Tailscale's CLI commands and REST API, enabling automated network management and monitoring through a standardized Model Context Protocol interface.
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 universal MCP server that enables AI agents to securely manage PostgreSQL databases, make API requests, and execute SSH commands with features for database analysis, schema editing, and data operations.
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.
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
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.
An enhanced Windows CLI MCP server providing unrestricted system access capabilities, designed for trusted environments with full system access requirements.
A server that provides a persistent Python REPL environment through the MCP protocol, allowing execution of Python code, variable management, and package installation.
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 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 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 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 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).
Exposes Cloudflare DNS, security, redirects and zone-settings functionality as structured tools that AI assistants like Claude Desktop can invoke directly.
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.
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 clients to interact with a system terminal running in an Electron application, allowing for executing commands, managing terminal sessions, and retrieving output programmatically.
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 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.
A secure server for executing terminal commands within predefined paths, allowing safe interaction by Large Language Models with operating system environments.
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.
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.
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 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.
A Model Context Protocol server that allows secure execution of pre-approved commands, enabling AI assistants to safely interact with the user's system.
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 server that enables LLMs to manage Kubernetes clusters through natural language commands, wrapping kubectl operations to provide a simplified interface for common Kubernetes tasks.
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 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.
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.
Enables spawning ephemeral Linux sandbox containers using Docker and executing commands through an interactive TTY interface. Supports collaborative terminal sessions where both AI clients and humans can simultaneously interact with the same container.
A Model Context Protocol server that enables AI assistants to execute PowerShell commands, retrieve system information, manage modules, and run scripts on Windows systems.
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.
A server that enables remote command execution over SSH through the Model Context Protocol (MCP), supporting both password and private key authentication.
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.
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 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 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 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.
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 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.
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.
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.
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 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.
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 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.
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.
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.
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 SSH remote access to servers through Claude, allowing users to execute commands, transfer files via SFTP, and manage multiple remote connections using natural language.
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.
Provides LLM clients with safe, persistent SSH access to remote machines through the Model Context Protocol. Maintains shell sessions that preserve environment state between commands, enabling multi-step workflows and interactive diagnostics on remote systems.
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.
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 remote execution of Rails console commands over SSH for read-only operations, mutation planning, and executing approved changes in a deployed Rails environment.
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 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.
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.
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.
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...
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.
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.
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.
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 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 server that allows language models to manage Hetzner Cloud resources through structured functions, including servers, volumes, firewalls, and SSH keys.
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.
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 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 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.
Enables management of ASUS routers running Asuswrt-Merlin firmware via SSH/SCP. Supports system monitoring, device management, WiFi control, service restarts, NVRAM operations, file transfers, VPN management, and custom command execution.
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 server that exposes Pi-hole functionality as tools for AI assistants, allowing them to retrieve local DNS settings and query history through natural language.
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.
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.
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.
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.
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.
An MCP server that allows managing Docker containers through natural language, enabling users to compose, introspect, and debug containers without running commands themselves.
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 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.
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.
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.
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.
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 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 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.
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.
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.
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.
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 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.
Enables AI agents to interact with terminal environments through multiple concurrent PTY sessions. Supports cross-platform terminal operations including command execution, session management, and real-time communication.
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.
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.
A Model Context Protocol server that enables seamless execution of commands, Python code, web content fetching, and reusable task management with secure credentials handling.
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 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.
Enables interaction with Google Cloud Platform services through gcloud CLI commands via a Cloud Run deployed MCP server. Supports executing gcloud commands and managing GCP resources through natural language.
Enables comprehensive Windows process and service management with secure UAC elevation. Supports discovery, inspection, and control of processes by name, PID, or port number, with both AI-assisted and direct command-line interfaces.
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.
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.
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.
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.
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.
Enables execution of shell commands, directory navigation, and interactive program automation through an enhanced command-line interface. Provides tools for running commands, managing working directories, and handling interactive programs using expect/send sequences.
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.
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 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 tutorial MCP server for learning the Model Context Protocol by building file and system tools. Provides hands-on experience creating custom tools that enable AI models to interact with files and execute system commands.
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.
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 execution of shell commands through a terminal tool with working directory support and timeout protection. Also provides access to MCP documentation as a resource.
Bridges Llama models with Claude Desktop through Ollama, enabling privacy-first local AI operations with 10+ built-in tools for file operations, web search, calculations, and custom model deployment. Features streaming support, hybrid intelligence workflows, and extensive Python ecosystem integration for research, development, and enterprise applications.
Enables secure SSH command execution on remote servers and local PowerShell automation through Claude Desktop. Features enterprise-grade security with SSH key authentication, network scanning, and comprehensive logging for Windows and Linux system administration.
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.
Enables AI models to securely control remote Linux servers via SSH for command execution, file operations, and system monitoring, plus browser automation capabilities for web navigation, form interaction, and screenshot capture.
Provides comprehensive utility tools including file operations, weather information, system monitoring, mathematical calculations, text search, and safe command execution. Enables users to perform various system and data operations through a unified MCP interface with built-in security features.
A secure server that allows LLM applications like Claude to execute whitelisted system commands with user confirmation and comprehensive security features.
Intentionally vulnerable Model Context Protocol (MCP) server designed for security research that processes natural language queries through an LLM to execute SQL queries or shell commands without restrictions.
A Model Context Protocol server that enables AI assistants to interact with Coolify instances through natural language, allowing management of servers, applications, databases, and deployments.
A testing environment for MCP server setup and client-server interactions, allowing users to verify basic MCP server functionality and test client-server communications including shell command execution.
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 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.
A local server that enables Google's Gemini AI to safely read, write, and list files within a controlled sandbox folder on your computer through natural language chat interactions.