About AI Sticky Notes MCP Server
AI Sticky Notes MCP Server is a basic server for storing and retrieving sticky notes. It lets users add notes, fetch stored or latest notes, and create a prompt that summarizes them.
Key features
- 01Append notes to a file
- 02Retrieve all notes
- 03Fetch the latest note
- 04Create a note-summary prompt
Use cases
- 01Keep a file-based record of notes
- 02Review the most recently added note
- 03Prepare a summary prompt from stored notes
MCP support
It exposes note-management tools and a summarization prompt to MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEAI Sticky Notes MCP Server
Project Overview
This project is a basic implementation of an MCP (Model Context Protocol) server named "AI Sticky Notes." It allows users to manage sticky notes by adding, reading, and summarizing them. The server is built using the FastMCP from MCP framework.
Features
- Add Notes: Append new notes to a file.
- Read Notes: Retrieve all stored notes.
- Get Latest Note: Fetch the most recent note.
- Summarize Notes: Generate a prompt summarizing all notes.
Project Structure
- main.py: Contains the server logic and tools for managing notes.
- notes.txt: Stores all the sticky notes.
- pyproject.toml: Configuration file for managing dependencies and project metadata.
Prerequisites
- Python 3.11 or higher
- Virtual environment setup
Setup Instructions
-
Clone the repository:
git clone https://github.com/crman/AI-Sticky-Notes-MCP-Server.git cd AI-Sticky-Notes-MCP-Server -
Create and activate a virtual environment:
python -m venv .venv .venv\Scripts\activate # On Windows -
Install dependencies using
uv:uv sync
Running the Server
To start the MCP server using uv, run the following command:
uv run mcp install main.py
Comments
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.