📝 AI Sticky Notes – MCP Project

by itsmerizzi

326 downloads

Not rated

GitHub

Knowledge Base

About

A simple AI-powered sticky notes app using MCP (Model Context Protocol) to add, read, delete, and summarize notes through Claude Desktop.

Details

Author: itsmerizzi
Downloads: 326
Categories: Knowledge Base

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name 📝 AI Sticky Notes – MCP Project

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "\ud83d\udcdd ai sticky notes \u2013 mcp project": {
            "mcp-server-itsmerizzi": {
                "command": "uv",
                "args": [
                    "init",
                    "project-folder-name"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\udcdd ai sticky notes \u2013 mcp project": {
            "mcp-server-itsmerizzi": {
                "command": "uv",
                "args": [
                    "init",
                    "project-folder-name"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\udcdd ai sticky notes \u2013 mcp project": {
            "mcp-server-itsmerizzi": {
                "command": "uv",
                "args": [
                    "init",
                    "project-folder-name"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "\ud83d\udcdd ai sticky notes \u2013 mcp project": {
            "mcp-server-itsmerizzi": {
                "command": "uv",
                "args": [
                    "init",
                    "project-folder-name"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\udcdd ai sticky notes \u2013 mcp project": {
            "mcp-server-itsmerizzi": {
                "command": "uv",
                "args": [
                    "init",
                    "project-folder-name"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\udcdd ai sticky notes \u2013 mcp project": {
            "mcp-server-itsmerizzi": {
                "command": "uv",
                "args": [
                    "init",
                    "project-folder-name"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "\ud83d\udcdd ai sticky notes \u2013 mcp project": {
            "mcp-server-itsmerizzi": {
                "command": "uv",
                "args": [
                    "init",
                    "project-folder-name"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\udcdd ai sticky notes \u2013 mcp project": {
            "mcp-server-itsmerizzi": {
                "command": "uv",
                "args": [
                    "init",
                    "project-folder-name"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\udcdd ai sticky notes \u2013 mcp project": {
            "mcp-server-itsmerizzi": {
                "command": "uv",
                "args": [
                    "init",
                    "project-folder-name"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "\ud83d\udcdd ai sticky notes \u2013 mcp project": {
            "mcp-server-itsmerizzi": {
                "command": "uv",
                "args": [
                    "init",
                    "project-folder-name"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\udcdd ai sticky notes \u2013 mcp project": {
            "mcp-server-itsmerizzi": {
                "command": "uv",
                "args": [
                    "init",
                    "project-folder-name"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\udcdd ai sticky notes \u2013 mcp project": {
            "mcp-server-itsmerizzi": {
                "command": "uv",
                "args": [
                    "init",
                    "project-folder-name"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "\ud83d\udcdd ai sticky notes \u2013 mcp project": {
            "mcp-server-itsmerizzi": {
                "command": "uv",
                "args": [
                    "init",
                    "project-folder-name"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\udcdd ai sticky notes \u2013 mcp project": {
            "mcp-server-itsmerizzi": {
                "command": "uv",
                "args": [
                    "init",
                    "project-folder-name"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\udcdd ai sticky notes \u2013 mcp project": {
            "mcp-server-itsmerizzi": {
                "command": "uv",
                "args": [
                    "init",
                    "project-folder-name"
                ]
            }
        }
    }
}

From the repository

After setting up the environment with uv (run uv install, uv init, then uv add "mcp[cli]"), install and launch Claude Desktop. Then interact with the project’s tools, resources, and prompts through the desktop client.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "\ud83d\udcdd ai sticky notes \u2013 mcp project": {
            "mcp-server-itsmerizzi": {
                "command": "uv",
                "args": [
                    "init",
                    "project-folder-name"
                ]
            }
        }
    }
}

McpServers

{
    "mcp-server-itsmerizzi": {
        "command": "uv",
        "args": [
            "init",
            "project-folder-name"
        ]
    }
}

📝 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.

---

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About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

📝 AI Sticky Notes – MCP Project

🚀 Features

🧰 Technologies Used

🛠️ Setup and Usage

1. Create and initialize the MCP environment

2. Install and use Claude Desktop

📁 File Overview

main.py

🔧 Tools

add_note(message: str) -> str

read_notes() -> str

remove_notes() -> str

🔗 Resource

get_latest_note() -> str

💬 Prompt

note_summary_prompt() -> str

📄 Notes File

✅ Requirements

🧠 Inspiration

Install

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