MCP Svelte Docs Server is a Model Context Protocol (MCP) server designed to provide efficient access to Svelte documentation. It offers advanced features such as intelligent search, relevance scoring, and efficient caching with LibSQL. The server supports both full and compressed content variants, making it suitable for different LLM context window sizes. It is ideal for developers working with Svelte, SvelteKit, or CLI, and can be integrated into various environments, including Cline Configuration and Claude Desktop with WSL. Key features include complete documentation access, smart content chunking, and automatic freshness checks. The latest update, as of January 20, 2025, includes version improvements. Contributions are welcome, and the project is licensed under the MIT License.
A Lightning Network MCP Server is a Model Context Protocol (MCP) server that facilitates interaction between AI models and the Lightning Network, enabling seamless payment operations. It serves as an interface for AI systems to execute microtransactions, such as paying invoices, through an MCP-compliant API. This server is ideal for developers, businesses, and blockchain enthusiasts who need fast, low-cost payments in AI-driven applications, automated services, or decentralized platforms. It can be deployed locally or in cloud environments supporting Node.js 18+, and is suitable for projects requiring real-time interaction with the Lightning Network, including invoice payments, subscription management, and peer-to-peer transactions.
MCP-Server-Playwright is a Model Context Protocol (MCP) server that leverages Playwright for browser automation. It allows large language models (LLMs) to interact with web pages, take screenshots, and execute JavaScript in a real browser environment. Key features include full browser automation, comprehensive web interactions, and console log monitoring. This tool is ideal for developers, testers, and AI engineers who need to automate browser actions, capture screenshots, or interact with dynamic web content. MCP-Server-Playwright can be installed on Windows and macOS systems and is available under the MIT License, making it open source and freely usable.
Flightradar24-mcp-server is a Model Context Protocol (MCP) server that leverages Flightradar24 data for real-time flight tracking. It integrates with Claude Desktop, allowing users to monitor flight statuses, arrival and departure times, and emergency flights. This tool is perfect for aviation enthusiasts, travel planners, and anyone interested in tracking flights. Developed by sunsetcoder and available on GitHub, it requires a Flightradar24 API key for setup. Users can track international flights, query specific flight details, and access accurate aviation data. Common queries include flight ETAs, airport statuses, and regional flight counts.
The Cloudflare API MCP Server is a lightweight Model Control Protocol (MCP) server deployed on Cloudflare Workers. It simplifies interactions with the Cloudflare REST API, providing tools for managing DNS records, purging cache, listing zones, and more. Designed to be simple and extensible, it allows developers to add new tools as needed. Running on Cloudflare’s global network, it ensures low latency and high performance. Ideal for developers, DevOps engineers, and IT professionals, it integrates seamlessly with Cursor or other compatible platforms, making it perfect for automating tasks and enhancing workflows. Future updates will include support for additional Cloudflare services like Workers, R2, KV, Queues, and Hyperdrive.
Kubernetes MCP Server is a robust and versatile tool designed to manage Kubernetes resources, including OpenShift. It supports CRUD operations on any Kubernetes resource, manages pods, and views configurations. This server enables efficient interaction with Kubernetes clusters, automating diagnostics and fixes for deployments, listing resources, and managing pods. It integrates seamlessly with tools like Claude Desktop and Goose CLI, making it ideal for developers, DevOps engineers, and Kubernetes administrators. It can be used in various environments, from local setups to cloud-hosted clusters. The latest release, v0.0.13, includes recent updates and features as of February 17, 2025. Key features include support for generic Kubernetes resource operations, pod-specific tasks, configuration management, and automated diagnostics for OpenShift.
MCP Server Trello is a Model Context Protocol (MCP) server designed to facilitate seamless interaction with Trello boards. It provides full Trello board integration, automatic rate limiting, type-safe implementation, input validation, and robust error handling. This makes it ideal for developers and teams looking to programmatically integrate Trello functionalities into their applications or workflows. MCP Server Trello can be easily installed via npm and used in any Node.js project. It is particularly useful for automating tasks such as fetching cards, managing lists, and tracking activities, while ensuring compliance with Trello's API limits.
Super Windows CLI MCP Server is an advanced fork of the Windows CLI MCP Server, designed to provide unrestricted system access. It offers full system access through SYSTEM service installation, unrestricted command execution, and network-level access controls. Developed to remove application-level restrictions in favor of network-level security, it is ideal for trusted environments where complete access to Windows shell environments, unlimited process resources, and full file system access are required. This server is intended for advanced users, administrators, or developers and should only be used in secure, trusted settings. Installation requires administrative privileges and supports configurable IP ranges and optional VPN integration. The latest update, on January 20, 2025, includes service scripts and updated documentation.
mcp-installer is a specialized MCP server designed to simplify the installation of other MCP servers. It automates and streamlines the setup process, making it easier for users to request installations from Claude, whether the servers are hosted on npm or PyPi. This tool is particularly beneficial for developers who frequently work with multiple MCP servers, as it centralizes the management and reduces manual setup efforts. mcp-installer can be used on systems where Claude is configured, such as macOS and Windows, and it supports both JavaScript (Node.js via npx) and Python (via uv) environments. Ideal for those seeking efficiency in installing and managing MCP servers, mcp-installer is a valuable tool for both developers and users.
Bear MCP Server is a Model Context Protocol (MCP) server that provides programmatic access to notes stored in the Bear Notes application. It runs SQL commands on the SQLite database where Bear stores its notes, enabling users to read, search, and list tags. This tool is ideal for developers, power users, or anyone looking to automate tasks, integrate with other applications, or build custom tools around their Bear Notes data. Operating on macOS systems, Bear MCP Server requires Node.js and the Bear application. When the server starts, it offers MCP tools like 'get_notes' to retrieve all notes, 'get_tags' to list all tags, and 'get_notes_like' to search for specific content.
YouTube Transcript MCP Server is a specialized MCP server designed to fetch transcripts from YouTube videos. It offers a `get_transcript` tool that retrieves the transcript based on the video URL and allows users to specify the desired language. This server is invaluable for extracting textual content, making it easier to analyze, search, or process video data. It benefits developers, researchers, and content creators who need transcripts for data analysis, machine learning, or content repurposing. The server can be integrated into platforms like Goose CLI, Goose Desktop, and Claude Desktop, with detailed setup instructions available for each. Use it whenever you need to programmatically retrieve and process YouTube video transcripts.
MCP Windows Website Downloader Server is a specialized tool designed to download entire Windows-based websites, including all assets like CSS, JS, and images, and save them into a structured library optimized for AI usage. It maintains the original site structure, creates indexes for RAG systems, and follows an MCP architecture with clear modular responsibilities. This tool is useful for creating offline archives of documentation websites, preparing content for AI indexing, and ensuring that website data is organized in a clean, structured format. Developed by angrysky56 (Tyler Blaine Hall) and available as open-source software under the MIT License, it simplifies the process of downloading and managing large chunks of web content while maintaining navigation links and organizing assets effectively. The project is hosted on GitHub under the repository 'angrysky56/mcp-windows-website-downloader' and includes source code, configuration files, documentation, and example implementations.