An MCP server that allows AI assistants to utilize human capabilities by sending requests to humans and receiving their responses through a Streamlit UI.
An MCP server that helps AI assistants access text content from websites that implement bot detection, bridging the gap between what you can see in your browser and what the AI can access.
An MCP server that lets AI assistants interact with your Lunchmoney data, enabling natural language queries about transactions, budgets, and spending patterns.
A Model Context Protocol server enabling AI systems to send real-time notifications to phones, desktops, and other devices through the ntfy publish/subscribe service.
An MCP server that bridges AI agents with GUI automation capabilities, allowing them to control mouse, keyboard, windows, and take screenshots to interact with desktop applications.