The Filesystem MCP Server is built using the mcp-framework and provides a flexible platform for integrating filesystem operations with MCP tools. It supports Server-Sent Events (SSE) for real-time updates and can be extended with custom tools for tasks like data processing, API integration, and file handling. The server is designed to work seamlessly with the Claude Desktop client, enabling local development and deployment.

This MCP server enables interaction with Unreal Engine instances by providing remote Python execution capabilities. It features Unreal instance management, remote execution modes, and detailed logging and monitoring. The server supports automatic discovery of Unreal nodes, real-time status monitoring, and execution of Python code in both attended and unattended modes.

WinFormsApp-MCP is a Windows Forms application that integrates Microsoft's Semantic Kernel with the Model Context Protocol (MCP). It provides tool functionality for GitHub, GitLab, and filesystem operations, enabling context-aware interactions with OpenAI's ChatGPT models. The application showcases how to configure and use MCP tools within the Semantic Kernel framework, offering a practical example of LLM integration with local and remote resources.

The OBS Studio Control via MCP Server provides tools to manage and control OBS Studio via the OBS WebSocket protocol. It supports general operations, scene management, source control, scene item manipulation, streaming, recording, and transitions. This server is designed to integrate with Claude desktop, allowing users to control OBS Studio programmatically.

The 1Panel MCP Server is designed to automate the deployment of websites to 1Panel servers. It creates websites if they don't already exist and uploads static website files seamlessly. Fully compatible with the Model Context Protocol (MCP) standard, this server integrates with 1Panel's API to streamline deployment processes. It is currently in the experimental phase, offering a practical solution for developers looking to automate their website deployment workflows.

The ArgoCD MCP Server integrates with the ArgoCD API, allowing AI assistants and large language models to manage ArgoCD applications and resources through natural language. It provides features like application management, authentication, and robust API client handling, enhancing developer experience with static type checking and detailed documentation.

The Docbase MCP Server is a Model Context Protocol (MCP) implementation designed to interact with Docbase, enabling users to search, retrieve, and create posts programmatically. It provides a command-line interface for building and running the server, with configuration options for custom API domains and tokens. This server simplifies Docbase integration into workflows requiring automated post management.

This project is an AI-powered file download manager built on the Model Context Protocol (MCP). It allows AI models to manage file downloads efficiently through a standardized interface, supporting features like multi-threaded downloads, task management, and real-time progress monitoring. The tool is designed to simplify download operations for users by enabling AI assistants to handle complex tasks such as starting, pausing, resuming, and canceling downloads without manual intervention.

The MCP Figma to React Converter is a server that automates the process of converting Figma designs into React components. It leverages the Figma API to fetch designs, extracts components, and generates React code with TypeScript and Tailwind CSS. The server supports various workflows, including fetching Figma projects, extracting components, and generating React component libraries. It also provides tools for enhancing components with accessibility features and supports both stdio and SSE transports for flexibility in deployment.

This lightweight utility ensures API keys for Cursor MCP servers are securely loaded from a file in your home directory, avoiding accidental exposure in repositories. It maintains seamless integration with AI coding assistants by injecting keys as environment variables only when needed, enhancing security without disrupting workflow.

This MCP server implementation facilitates seamless integration between Google Calendar and Claude Desktop, allowing users to manage calendar events through natural language interactions. It supports event retrieval, creation, updates, and deletions, leveraging Google Calendar API and OAuth2 authentication for secure access. Built with TypeScript, it ensures robust and type-safe development.

Ziwei AI is an innovative application that leverages the wisdom of traditional Chinese culture, specifically 'Ziwei Dou Shu,' to help users understand themselves and improve life efficiency. It integrates traditional cultural knowledge with modern AI technology, offering features like charting, chart analysis, and interactive reports. The application aims to provide a professional yet accessible tool for users to explore their personality traits, natural talents, and life trends through Ziwei Doushu charts.

The MCP Servers and Clients Hub is a centralized repository for discovering and contributing to a wide range of Model Context Protocol (MCP) servers and clients. It provides a comprehensive list of MCP implementations, tools, and integrations across different domains such as AI services, system automation, search, and more. This hub aims to facilitate the development and adoption of MCP by offering a collaborative platform for developers and users.

The Swagger MCP Server is designed to parse Swagger/OpenAPI documents, supporting both v2 and v3 specifications. It generates TypeScript type definitions and API client code for frameworks like Axios, Fetch, and React Query. The server integrates with the Model Context Protocol (MCP), enabling seamless integration with large language models. It also features optimized processing for large API documents, including caching, lazy loading, and incremental parsing.