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MCP Notes Server

MCP Notes Server

Local
github.com/truaxkiMemory & Knowledge7Updated 91w ago

About MCP Notes Server

MCP Notes Server is a Python SDK-based server for persistent note management, storing notes in JSON with timestamps. It also provides note resources and prompts for brief or detailed summaries.

Key features

  1. 01Create, read, update, and delete notes
  2. 02Persist notes in JSON
  3. 03Track creation and modification times
  4. 04Access notes through `note://` resources
  5. 05Generate brief or detailed summaries

Use cases

  1. 01Keep notes across server sessions
  2. 02Update or remove stored notes
  3. 03Read notes as MCP resources
  4. 04Summarize a collection of notes

MCP support

It exposes note-management tools, `note://` resources, and a `summarize-notes` prompt to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"notes-truaxki": {
"command": "npx",
"args": [
"-y",
"@smithery/cli"
]
}
}
}
Run commandnpx -y @smithery/cli

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@smithery/cli

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MCP Notes Server

smithery badge

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

Notes Server MCP server

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]

Comments

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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.