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📝 AI Sticky Notes – MCP Project

📝 AI Sticky Notes – MCP Project

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github.com/itsmerizziMemory & Knowledge0Updated 80w ago
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About 📝 AI Sticky Notes – MCP Project

A Python MCP server for managing sticky notes stored in a local file, intended for use with Claude Desktop. Its tools, resource, and prompt cover note editing, retrieval, and summarization.

Key features

  1. 01Add and read notes
  2. 02Clear all saved notes
  3. 03Retrieve the latest note
  4. 04Generate a note-summary prompt
  5. 05Store notes in local notes.txt

Use cases

  1. 01Saving notes through Claude Desktop
  2. 02Reviewing all stored notes
  3. 03Retrieving the most recent note
  4. 04Summarizing the current notes

MCP support

Exposes note-management tools, a latest-note resource, and a summary prompt to MCP clients such as Claude Desktop.

#mcp-server#ai-sticky-notes#note-management

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

📝 AI Sticky Notes – MCP Project

This project is a simple and functional application that uses the MCP (Model Context Protocol) to create a sticky notes system powered by AI. It leverages FastMCP, the mcp[cli] interface, and integrates with Claude Desktop.

🚀 Features

  • Add new notes
  • Read all existing notes
  • Remove all notes
  • Retrieve the latest note
  • Generate a prompt to summarize all notes

🧰 Technologies Used

  • Python
  • FastMCP
  • uv for environment management
  • Claude Desktop for execution with tools, resources, and prompts

🛠️ Setup and Usage

1. Create and initialize the MCP environment
uv install
uv init project-folder-name
cd project-folder-name
uv add "mcp[cli]"
2. Install and use Claude Desktop
  • Download and install Claude Desktop
  • Run and interact with the defined tools, resources, and prompts

📁 File Overview

main.py

This file contains all the tools and logic to manage notes using the MCP framework.

🔧 Tools

add_note(message: str) -> str

Appends a new note to the notes.txt file.

read_notes() -> str

Returns all saved notes. If no notes exist, returns a default message.

remove_notes() -> str

Clears all notes in the notes.txt file.

🔗 Resource

get_latest_note() -> str

Returns the most recently added note.

💬 Prompt

note_summary_prompt() -> str

Generates a prompt asking the AI to summarize all current notes.

📄 Notes File

All notes are stored in a local notes.txt file, which is automatically created if it doesn't exist.

✅ Requirements

  • Python 3.10+
  • uv installed
  • Claude Desktop installed

🧠 Inspiration

This project demonstrates how to use MCP to build intelligent agents that interact with local files and structured data. It’s easily extendable with new functionalities.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.