UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.

An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.

Desktop Commander MCP is an AI assistant tool that enables the Claude desktop application to execute terminal commands and manage the file system. It supports functions such as code search, editing, process management, and remote file reading.

wcgw is an MCP server project that integrates Shell and code editing tools, allowing AI to execute commands, read and write files, edit code, etc. on the local machine. It provides multiple modes (such as Architect Mode, Code Writing Mode, etc.), supports task checkpoint saving, terminal interaction, syntax checking, etc., and is suitable for scenarios such as code development and problem troubleshooting.

The Azure MCP Server is a server that implements the MCP protocol, providing seamless connection between AI agents and Azure services (such as Storage and Cosmos DB), and supporting the conversion of natural language commands into Azure operations.

GitKraken CLI is a command - line tool that provides multi - repository workflow management, AI - generated commit messages and pull requests, and includes a local MCP server for integrating tools such as Git, GitHub, and Jira.

Smithery CLI is a command-line tool for managing Model Context Protocol (MCP) servers, supporting multiple AI clients and providing functions for installing, uninstalling, viewing, and running MCP servers.

The AI Infrastructure Agent is an intelligent system that allows users to manage AWS cloud resources through natural language commands. It uses AI models to convert user requirements into executable AWS operations and provides web dashboards, state management, and security protection functions.

A Node.js tool based on Playwright that can bypass search engine anti - scraping mechanisms to perform Google searches and extract results. It can be used as a command - line tool or an MCP server to provide real - time search capabilities for AI assistants.

The AWS MCP Server is a lightweight service that enables AI assistants to execute AWS CLI commands through the Model Context Protocol (MCP), providing functions for querying AWS CLI documentation and executing commands.

adb - mcp is a proof - of - concept project aiming to provide an interface for LLMs through the MCP protocol to create an AI agent for controlling Adobe tools (such as Photoshop and Premiere). This project includes the MCP server, Node command proxy server, and Adobe application plugins, supporting natural language instruction operations on Adobe software and suitable for image and video editing automation.

Smart Tree is an ultra-fast directory visualization tool developed based on Rust. It is 10 - 24 times faster than the traditional tree command. It has features such as AI - optimized output, quantum compression, and intelligent search, and also focuses on environmental protection and energy conservation.

The SDKMAN interactive command-line tool provides a convenient interface for browsing, filtering, and installing SDKs, supports all SDKMAN candidate versions, and can integrate with an AI assistant to manage the development environment through natural language.

The Kanboard MCP Server is a model context protocol server developed in Go that enables seamless integration between AI assistants and the Kanboard project management system. It supports managing projects, tasks, users, and workflows through natural language commands.

Cursor Rust Tools is an MCP server that provides access to Rust Analyzer, Crate documentation, and Cargo commands for the LLM in Cursor, improving the efficiency of AI agents in Rust development.

MCP Agile Flow is an AI - assisted agile development workflow management system based on FastMCP, providing RESTful APIs and a resource - prioritized architecture, supporting natural language command processing and multi - IDE integration.

A Laravel Artisan command execution server based on the MCP protocol, which securely manages local Laravel projects through an AI assistant

The MCP Terminal Server is a secure command-line interface service that provides terminal interaction capabilities for AI models while ensuring system security.

MCPez is a microservice command proxy management platform that unifies the management and standardizes the interfaces of backend services through a web interface, simplifying the integration of AI agents and tools.

The Windows Command Line MCP Server is a secure intermediary service that allows AI models to interact with the Windows system under strict security control, including functions such as executing commands, creating projects, and obtaining system information.

An MCP-like server prototype based on the DeepSeek API, providing terminal command execution and AI chat integration functions.

The Pega DX MCP Server is an experimental project aiming to transform Pega Infinity™ applications into an intuitive conversational experience through the Model Context Protocol (MCP). It serves as a bridge between the Pega DX API and the natural language interface, enabling GenAI agents, IDEs, and other MCP-supported tools to interact with Pega Infinity™ applications using simple human-readable commands.

MCP Terminal is a terminal control server designed for AI, providing a standardized interface for AI to execute terminal commands and obtain results.

SystemPrompt Coding Agent is an open-source project that transforms a local workstation into an AI programming assistant that can be remotely controlled via the MCP protocol, supporting voice commands and mobile operations for off-site programming management.

An MCP server project that supports interaction between AI assistants and the macOS version of the ChatGPT desktop application, enabling cross - application command sending and response retrieval.

Shipyard CLI is a command-line tool for managing temporary environments on the Shipyard platform. It supports functions such as environment management, service operations, log viewing, and port forwarding, and integrates the MCP service for AI assistants to use.

This project is a list of MCP servers, covering multiple fields such as browser automation, tool integration, system automation, AI services, search, commands, workflow automation, social media, communication, customer data platforms, databases, knowledge storage, development tools, file systems, cloud storage, finance, location services, monitoring, research data, security, travel, data visualization, notes, marketing, identity, etc.

The Bazel MCP Server is a local service that provides AI agents supporting the MCP protocol with access to the functions of the Bazel build system. It solves the problem that Bazel cannot be used in the MCP environment due to the lack of command-line tools or incorrect environment configuration. It provides core functions such as building, querying, and testing, and supports dynamically setting the workspace path.

ShellKeeper is an MCP service that provides persistent terminal sessions and file transfer functions for AI assistants, solving the stateless problem of traditional AI command execution, and supporting SSH connections, server operations, and file uploads and downloads.

The ros2-mcp-server is a Python-based server that integrates with ROS 2 through the Model Context Protocol (MCP), enabling AI assistants to control robot movement through ROS 2 topics. It supports time-controlled movement commands and runs as a ROS 2 node, publishing geometry_msgs/Twist messages to the /cmd_vel topic.

OpenAPI MCP Server is a command-line tool that can convert any OpenAPI service into a server compliant with the MCP protocol, enabling seamless integration and use of these services by AI agents and tools supporting the MCP specification.

quiet - shell is an MCP server that reduces the context consumption of AI agents by intelligently filtering shell command output, focusing on displaying errors, failures, and summary information, and improving development efficiency.

Pandora's Shell is an MCP server project that allows AI assistants to execute terminal commands on the user's system. It should be used with caution in a controlled environment.

The Stata MCP extension provides Stata integration for VS Code and Cursor, supporting command execution, AI assistance, and real-time output viewing.

An MCP server based on Docker containers, providing AI assistants with the ability to securely execute commands and operate files within containers, supporting process management and interactive input.

A secure Windows command - line MCP server that provides secure system interaction capabilities for AI models

Xmcp is an AI - based command - line tool that helps users write and directly post tweets to their Twitter accounts, providing functions such as content generation, secure authentication, and draft management.

VkRunner is a Vulkan shader testing tool based on Piglit's shader_runner, aiming to support test scripts as similar as possible to Piglit's shader_test format. It supports writing shaders in GLSL or SPIR-V and provides a rich set of test commands to verify shader behavior, including drawing, computing, and probe detection functions.

Unity AI ProBuilder is an AI-driven 3D modeling tool based on the MCP protocol that creates and edits editable meshes in the Unity editor through natural language commands, supporting rapid prototyping and procedural geometry generation.

Terminal MCP Server is an MCP protocol server that supports command execution on local and remote hosts, providing a system command operation interface for AI models.