mcp-shodan is a Model Context Protocol (MCP) server designed to query the Shodan API and Shodan CVEDB, providing access to network intelligence services such as IP reconnaissance, DNS operations, vulnerability tracking, and device discovery. It simplifies integration into workflows via Claude Desktop and offers tools like IP lookup, CVE search, and reverse DNS resolution. Cybersecurity professionals, researchers, developers, and system administrators can benefit from its detailed insights. mcp-shodan can be installed globally via npm, set up manually in Claude Desktop, or run directly from source on systems with Node.js v18 or later. It is useful for network security assessments, vulnerability research, DNS resolutions, and discovering internet-connected devices.
A Discord MCP Server is a Model Context Protocol (MCP) server that facilitates interaction between large language models (LLMs) like Claude and Discord channels. It allows LLMs to send and read messages via Discord's API, ensuring secure and controlled communication. This tool is ideal for developers, AI enthusiasts, and organizations looking to integrate AI-driven interactions into their Discord communities. The server can be deployed locally or on a cloud server, provided the environment meets prerequisites such as Node.js 16.x or higher and a properly configured Discord bot token. It offers features like sending and reading messages, automatic server and channel discovery, and robust error handling, making it a powerful tool for enhancing community management and automating tasks within Discord.
atlas-mcp-server is a Model Context Protocol (MCP) server built in TypeScript, designed to enhance project and task management with the power of Neo4j's graph database. It offers intelligent collaboration and guidance for LLM agents, featuring robust tools for project management, member collaboration, dependency tracking, and real-time whiteboard functionalities. Ideal for developers, project managers, and teams working with AI models, it supports role-based access control and standardized communication. atlas-mcp-server can be self-hosted using Docker or deployed on Neo4j AuraDB for cloud solutions. Key features include advanced search, bulk operations, and error handling, making it a scalable and high-performance choice for modern project management.
Clever Cloud Documentation MCP Server is a demo server based on FastMCP that exposes Clever Cloud's documentation. Derived from the MCP Clever Demo by davlgd, it serves as an implementation example for MCP clients. This server provides developers with an easy way to access and interact with Clever Cloud's documentation via an MCP client, acting as a reference for developing and testing other MCP-based projects. The target audience includes developers, especially those working with MCP clients like Claude Desktop, who want to explore Clever Cloud's documentation or develop/debug their own MCP servers. The project is hosted on GitHub under the repository LostInBrittany/clever-doc-mcp-server, and it is licensed under the MIT License, making it open-source and free to use, modify, and distribute.
mcp-server-youtube-transcript is an MCP (Model Context Protocol) server that enables users to download YouTube video transcripts easily. It supports various video URL formats and allows language-specific transcript retrieval, providing detailed metadata in responses. Developed by kimtaeyoon83, this tool integrates seamlessly with applications like Claude Desktop and offers robust error handling for common issues such as invalid URLs or unavailable transcripts. It can be installed via Smithery or mcp-get and requires Node.js 18 or higher along with npm or yarn. Active development is indicated by recent commit messages, ensuring it remains up-to-date and reliable.
MCP Server for Things3 is a Model Context Protocol (MCP) server that integrates with the macOS app Things3, enabling users to manage tasks and projects through MCP, AppleScript, and x-callback URLs. It offers features like synchronization with Agenda projects, detailed project and to-do creation, and task listing. Developed by Jamie Forrest, the server streamlines productivity by automating tasks and enhancing customization. The source code is available on GitHub at drjforrest/mcp-things3, and it is open-source under the MIT License. Key tools include `create-things3-project`, `create-things3-todo`, and `sync-agenda-project`.
OpenHue MCP Server is an advanced solution that allows users to control Philips Hue lights through natural language interfaces like Claude and other AI assistants. It leverages the OpenHue CLI for seamless communication with the Hue Bridge, offering features such as light control, room management, and scene activation. This tool is ideal for developers, smart home enthusiasts, and anyone looking to integrate their Philips Hue lighting system with AI-driven interfaces. It can be used in homes, offices, or commercial spaces and is compatible with Linux, macOS, and Windows. Setting up OpenHue MCP Server enhances your smart lighting experience, making it more accessible and user-friendly.
The nREPL MCP Server is a Model Context Protocol (MCP) server designed to interact with MCP clients such as Claude Desktop or CLine in VSCode. It enables seamless integration between Clojure's nREPL environment and MCP-compatible tools, providing features like code evaluation, namespace inspection, and metadata retrieval. This server is particularly useful for developers working with Clojure who want to enhance their workflow by integrating nREPL functionality into tools like VSCode or Claude Desktop. You can install and run the nREPL MCP Server via npm using `npx`, manually clone and build the repository, or configure it directly in tools like CLine or Claude Desktop through their MCP settings. Key features include connecting to an nREPL server, evaluating Clojure code, listing project namespaces, inspecting public vars, and fetching nREPL connection status. The server is licensed under the MIT License, allowing free modification and distribution.
MemoryMesh is a knowledge graph server designed for AI models, particularly suited for text-based RPGs and interactive storytelling. It helps AI maintain consistent, structured memory across conversations, enabling richer and more dynamic interactions. Key features include dynamic schema-based tools, relationship handling, metadata guidance, and event tracking. Ideal for developers, game designers, and AI enthusiasts, MemoryMesh can be installed locally using Node.js and npm, and integrates with Claude Desktop via the MCP server configuration. The Memory Viewer tool provides a visual interface to manage and inspect the knowledge graph. Consider using MemoryMesh for projects requiring structured data management and persistent memory, such as simulations or complex storytelling systems.
The Model Control Protocol Server (MCP) is a CLI tool that simplifies the setup and deployment of an MCP server to Cloudflare Workers. It enables developers to create tools for their Cursor Agent using TypeScript functions with JSDoc comments, automating tasks like cloning templates, installing dependencies, and deploying. MCP eliminates the need for local servers or managing node processes, offering a streamlined developer experience, fast deployments, and seamless integration with Cloudflare Workers. Ideal for those familiar with TypeScript and Cloudflare, MCP is perfect for rapid prototyping and deployment without infrastructure management. Developers can add new tools by modifying the `MyWorker` class in `src/index.ts` and redeploying with `bun run deploy`.
Any-chat-completions-mcp is a server instance designed for managing chat completions in AI-driven conversational environments. It streamlines and enhances real-time interactions, providing dynamic and context-aware responses, which is crucial for scalability and performance in multi-user settings. This system is used by developers, businesses, and platforms needing advanced conversational AI, such as customer service, virtual assistants, and interactive applications. It can be deployed in cloud, on-premises, or hybrid infrastructures, making it versatile for various organizational needs. Any-chat-completions-mcp is particularly relevant for scenarios requiring scalable and intelligent chat-based systems, especially with high user engagement or complex conversational demands. The MCP in the name could stand for 'Multi-Chat Platform' or 'Message Completion Processor,' depending on the specific context.
MCP TODO Checklist Server is an MCP (Model Context Protocol) server implementation designed to enhance productivity by providing a robust task management system. It supports multiple to-do lists, allowing users to create, manage, and share checklists with features like priorities, due dates, tags, and persistent storage. Ideal for both individual and collaborative task management within the Claude Desktop environment, it benefits developers, teams, and individuals. The server can be installed locally for development or globally for regular use, requiring Node.js version 18 or higher and NPM version 8 or higher. Built using TypeScript, Model Context Protocol SDK, Zod, and a file-based storage system, MCP TODO Checklist Server offers a reliable and flexible solution for task tracking and collaboration.