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AI Sticky Notes MCP Server

@crman

Repository

Basic information

Category

Memory & Knowledge

Transports

stdio

Author

crman

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": {
    "AI-Sticky-Notes-MCP-Server": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

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 MCP Server?

AI Sticky Notes MCP Server is a basic MCP server that lets users manage sticky notes by adding, reading, and summarizing them. It uses the FastMCP framework and is intended for developers who want to integrate simple note management into MCP-compatible applications.

How to use AI Sticky Notes MCP Server?

Clone the repository, create and activate a Python virtual environment, install dependencies with uv sync, then start the server by running uv run mcp install main.py.

Key features of AI Sticky Notes MCP Server

  • Append new notes to a file.
  • Retrieve all stored notes.
  • Fetch the most recent note.
  • Generate a prompt summarizing all notes.

Use cases of AI Sticky Notes MCP Server

  • Capture quick ideas or reminders during a development session.
  • Maintain a running log of tasks or observations.
  • Retrieve the last note written without browsing the full list.
  • Create a summary of past notes for review or reporting.

Frequently asked questions

1

What does AI Sticky Notes MCP Server do?

It manages sticky notes by adding, reading, retrieving the latest, and summarizing them through MCP tools.

2

What are the runtime requirements?

Python 3.11 or higher and a virtual environment with dependencies installed via `uv`.

3

How do I install and run the server?

Clone the repo, create a venv, run `uv sync` to install dependencies, then execute `uv run mcp install main.py`.

4

Where are notes stored?

Notes are saved locally in a file named `notes.txt` in the project root.

5

Can I get a summary of my notes?

Yes, the server includes a tool that generates a prompt summarizing all stored notes.

Comments

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