AI Sticky Notes

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This tool serves as a lightweight Model Context Protocol (MCP) server that exposes a simple “sticky notes” system, making it accessible through MCP-compatible tools, resources, and prompts. Built with FastMCP, it enables any MCP-enabled client, such as Large Language Models (LLMs), AI agents, or RAG systems, to seamlessly read, write, and summarize notes. The server stores notes in a local text file, routing all interactions through its MCP interface for efficient management.

Características Principales

• Access the most recently added note
• Retrieve all stored notes as a single text block
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• Generate a ready-to-use prompt for AI summarization of all notes
• Append new notes to a text file

Casos de Uso

• Allowing LLMs and AI agents to create and manage personal or session-specific notes
• Enabling AI systems to summarize captured information efficiently
• Providing a simple persistent storage mechanism for AI-driven workflows