🗒️ MCP-Server: AI Sticky Notes

What is 🗒️ MCP-Server: AI Sticky Notes?

A lightweight Python server that lets you create, read, and summarize sticky notes using AI tools. It is built on FastMCP and stores notes in a plain text file, making it easy to integrate with MCP-compatible AI clients.

How to use 🗒️ MCP-Server: AI Sticky Notes?

Ensure you have Python 3.7+ and the fastmcp package installed. Run main.py as the entry point. The server exposes tools (add_note, read_notes, get_latest_note, note_summary_prompt) that your AI client can call.

Key features of 🗒️ MCP-Server: AI Sticky Notes

• Add new sticky notes via add_note(message)
• View all stored notes with read_notes()
• Retrieve the most recent note using get_latest_note()
• Generate an AI summarization prompt via note_summary_prompt()

Use cases of 🗒️ MCP-Server: AI Sticky Notes

• Quickly jot down reminders or ideas from an AI conversation
• Retrieve and review all notes during a session
• Have an AI assistant summarize a collection of notes
• Serve as a lightweight note‑keeping backend for MCP‑powered agents

FAQ from 🗒️ MCP-Server: AI Sticky Notes

What tools does the server provide?

It provides four tools: add_note (add a new note), read_notes (return all notes), get_latest_note (fetch the most recent note), and note_summary_prompt (generate a summarization prompt).

Where are notes stored?

All notes are stored in a file named notes.txt in the same directory as the server.

What are the runtime requirements?

Python 3.7 or later and the fastmcp Python package.

How does the summarization work?

Calling note_summary_prompt() returns a prompt string (e.g., “Summarize the current notes: …”) designed to be sent to an AI model, which then produces a concise summary.

Who created this server?

It was created by HKanoje.