MCP Notes Server

A Model Context Protocol (MCP) server implementation for managing notes with persistent storage.

<a href="https://glama.ai/mcp/servers/tg4ugmp8jr"><img width="380" height="200" src="https://glama.ai/mcp/servers/tg4ugmp8jr/badge" alt="Notes Server MCP server" /></a>

Features

• Create, read, update, and delete notes
• Persistent storage using JSON
• Timestamp tracking for creation and modifications
• Note summarization via prompts
• Resource-based access using note:// URI scheme

Installation

Installing via Smithery

To install notes for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install notes --client claude

Manual Installation

1. Ensure you have Python 3.10 or later installed
2. Create a virtual environment:

   python -m venv .venv
   
   # On Unix/MacOS:
   source .venv/bin/activate
   
   # On Windows:
   .venv\Scripts\activate
   

3. Install requirements:

   pip install MCP
   

Project Structure

notes/
├── __init__.py          # Package initialization
├── server.py           # Main server implementation
├── storage.py          # Note persistence layer
├── resources.py        # Resource handling (note:// URIs)
├── prompts.py         # LLM prompt generation
└── tools/             # Server tools
    ├── __init__.py    # Tools package initialization
    ├── list_tools.py  # Tool listing functionality
    └── handle_tools.py # Tool handling implementation

Available Tools

• add-note: Create a new note
• list-all-notes: Display all stored notes
• update-note: Modify an existing note
• delete-note: Remove a note

Usage

1. Start the server:

   mcp install src/notes
   mcp start Notes
   

2. Example operations:

   # Create a note
   await client.call_tool("add-note", {
       "name": "example",
       "content": "This is a test note"
   })
   
   # List all notes
   await client.call_tool("list-all-notes")
   
   # Update a note
   await client.call_tool("update-note", {
       "name": "example",
       "content": "Updated content"
   })
   
   # Delete a note
   await client.call_tool("delete-note", {
       "name": "example"
   })
   

Storage

Notes are stored in notes_storage.json with the following structure:

{
    "note_name": {
        "content": "Note content",
        "created_at": "2025-01-12T11:28:16.721704",
        "modified_at": "2025-01-12T11:28:16.721704"
    }
}

Resource Access

Notes can be accessed as resources using the note:// URI scheme:

• List resources: Returns all available notes as resources
• Read resource: Access a specific note using note://internal/note_name

Prompt Generation

The server includes a prompt generation feature for note summarization:

• Supports both brief and detailed summaries
• Formats notes for language model input
• Available via the "summarize-notes" prompt

Development

To modify or extend the server:

1. Clone the repository
2. Install development dependencies
3. Make changes in the appropriate module
4. Test thoroughly before deploying

Testing

Tests should cover:

• Basic CRUD operations
• Multiple note handling
• Error cases
• Resource access
• Prompt generation

License

[Add your license here]