Awesome MCP Servers is a comprehensive collection of Model Context Protocol (MCP) servers, covering 7,158 MCP servers divided into 33 categories, including AI integration, art and media, browser automation, cloud services, databases, developer tools, file systems, finance, gaming, hardware, healthcare, infrastructure, knowledge management, location maps, marketing, monitoring, multimedia processing, operating systems, project management, scientific research, security, social media, travel and transportation, utilities, and version control, etc.

LYRAIOS is a multi-AI agent operating system based on the Model Context Protocol (MCP), aiming to extend AI application functions by connecting financial networks and public blockchain chains, providing services such as blockchain operations, fintech analysis, and educational learning.

This project demonstrates a server example developed based on the MCP Java SDK. It does not require the Spring framework and supports providing data and services for LLM applications through the MCP protocol. It includes examples of interacting with MySQL and operating on the file system.

This project is an MCP server that provides WHOIS query services, allowing AI agents to directly query the registration information of domain names, IPs, top-level domains, and autonomous systems without manually operating a browser.

The MCP Database Server is a tool that supports the connection and operation of multiple database systems. It provides two operating modes, SSE and STDIO, and can be integrated with Claude Desktop for database interaction.

The Ultimate MCP Server is an AI agent operating system based on the Model Context Protocol (MCP), offering dozens of powerful tool capabilities, including cognitive enhancement, tool usage, and intelligent orchestration. The system exposes functions through standardized MCP tools, enabling advanced AI agents to access a rich tool ecosystem and specialized services while optimizing costs, performance, and quality.

Photoshop MCP Server is a service that integrates with Adobe Photoshop through the Model Context Protocol (MCP), allowing AI assistants and other MCP clients to programmatically control Photoshop. It provides functions such as creating, opening, and saving documents, operating on layers, and retrieving session information, and only supports the Windows system.

A cross-platform MCP server tool that provides functions to list and terminate operating system processes through natural language queries, suitable for users who need to quickly manage system processes.

MCP System Bridge is a bridging tool that implements the Model Context Protocol (MCP), providing access to native operating system functions, such as clipboard management, URL handling, and date information retrieval.

The Ultimate MCP Server is an AI agent operating system based on the Model Context Protocol (MCP), providing dozens of powerful tool capabilities, including intelligent task delegation, document processing, browser automation, Excel operations, etc. It achieves cognitive enhancement and complex task orchestration of AI agents through standardized MCP tools.

Provide a command-line operation guide for creating a Claude application configuration file on different operating systems

The openEuler MCP Servers repository is a repository for storing various MCP Servers, aiming to call various applications through the general large model context protocol (MCP) to expand the capabilities of large models, especially in the operating system field.

A server project based on the MCP protocol for running commands on the local operating system and returning the execution results to the LLM.

An MCP server based on Spring AI, a project that monitors system resources on various operating systems and provides information to AI models.

The Ultimate MCP Server is an AI agent operating system based on the Model Context Protocol (MCP), providing a rich toolset and intelligent task delegation function, supporting multi-LLM provider integration, optimizing cost and performance, and automating complex workflows.

BRAINS OS is an AI operating system based on modern cloud-native technologies, designed specifically for managing large language models and dedicated AI agents, providing visual workflow editing, a unified command system, and a secure deployment framework.

sysctl-mcp is an extensible MCP protocol server for providing real-time operating system monitoring and supporting secure command execution, suitable for system observability, automation, and agent integration.

An MCP server project for obtaining real - time operating system information

This project is an experimental toolset for MCP servers implemented in Ruby, including operating system tools and media server functions, providing functions such as file operations, clipboard management, and speech transcription.

The Kiteworks MCP server is a cross - platform service that securely connects LLM applications to the Kiteworks enterprise file storage platform through the model context protocol. It provides file management, folder operation, and user information access functions, supports OAuth 2.0 authentication, and multiple operating systems.

The Ultimate MCP Server is a comprehensive native MCP system. As a complete AI agent operating system, it provides dozens of powerful functions through the Model Context Protocol (MCP), enabling advanced AI agents to access a rich ecosystem of tools, cognitive systems, and professional services.

The MCP Client Configuration Server is a tool for managing different MCP client configurations, supporting automatic detection of the operating system and client type, and providing functions such as obtaining, adding, and deleting configuration files.

The StateSet MCP Server is a model context protocol service used to integrate with StateSet's issue operating system, enabling LLMs to interact with StateSet.

BRAINS OS is an AI operating system based on modern cloud - native technologies. It manages and orchestrates AI workflows through a visual interface, providing a unified command system and a secure deployment framework.

This project builds an AI system based on Nasdanika capabilities, focusing on operating on resource collections (interconnected models). It describes model elements and their relationships from multiple angles through the 'narrator' processor, and uses embeddings and vector storage to implement semantic search and RAG (Retrieval - Augmented Generation). It also supports the chat completion functions of OpenAI and Ollama.

The Rundeck MCP server is a toolset for indirectly operating the Rundeck CLI through AI, providing functions such as job management, execution management, project management, and node system information query.