An MCP server that provides elicitation tools to interactively request user input, such as selecting options, providing information, or performing manual tests.
A demonstration server that showcases how to collect user input dynamically using the Model Context Protocol (MCP) elicitation system across tools, resources, and prompts.
An MCP server providing video processing capabilities through FFmpeg, enabling dialog-based local video search, trimming, concatenation, and playback functionalities.
A demonstration server showing MCP implementation in Python with resource handling, tool operations, and reusable prompts for a simple user/post system with local database.
An MCP server that enables human-in-the-loop elicitation, letting AI agents ask users questions via tools like elicit_confirm and elicit_form, with diagnostics to verify host elicitation support.
A demonstration MCP server showcasing the xmcp framework's structured approach to defining tools, prompts, and resources with automatic discovery from their respective directories.