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AI Sticky Notes MCP Server

@SamraAzizi

Basic information

Category

Memory & Knowledge

Transports

stdio

Author

SamraAzizi

About AI Sticky Notes MCP Server

No overview available yet

AI Sticky Notes MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "custom_MCP_server": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "-r",
        "requirements.txt"
      ]
    }
  }
}

AI Sticky Notes MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is AI Sticky Notes?

AI Sticky Notes is a lightweight, AI-powered note-taking application built using the MCP framework. It allows you to add, read, and summarize notes through a simple interface, making it ideal for quick thoughts, to-do lists, or daily journaling.

How to use AI Sticky Notes?

Install dependencies with pip install -r requirements.txt (or uv) and run python main.py. Use the MCP tool add_note to append a note, read_notes to retrieve all notes, the resource notes://latest for the most recent note, and the prompt note_summary_prompt to generate an AI summary via Claude.

Key features of AI Sticky Notes

  • Add new notes to a persistent file.
  • Read all saved notes.
  • Access the most recently added note.
  • Summarize all current notes using AI.

Use cases of AI Sticky Notes

  • Capturing quick thoughts on the fly.
  • Maintaining a simple to-do list.
  • Keeping a daily journal with AI summaries.

Frequently asked questions

1

What are the prerequisites for using AI Sticky Notes?

Python 3.8 or higher, the MCP framework, and Claude AI model integration are required. The uv package manager is optional but recommended.

2

How do I install AI Sticky Notes?

Clone the repository, then run `pip install -r requirements.txt` or `uv pip install -r requirements.txt`. Start the application with `python main.py`.

3

How do I add or read notes?

Use the MCP tool `add_note(message)` to add a note, and `read_notes()` to retrieve all saved notes. The resource `notes://latest` returns the most recent note.

4

How does the AI summary work?

The application integrates with Claude AI. Use the MCP prompt `note_summary_prompt()` to generate a summary of all current notes.

5

Where are the notes stored?

Notes are saved to a persistent file named `notes.txt` in the project directory.

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