MCPNotes

Overview

MCPNotes is a comprehensive note-taking solution built on the Model Context Protocol. It consists of a TypeScript MCP server for AI-driven note management and a separate web server for user interaction. Notes are stored securely in AWS DynamoDB and can be managed either through AI tool calls or the web interface. The server supports multiple popular AI models and offers features like note creation, retrieval, updating, deletion, and tagging. Its project-independent design allows users to store personal notes without affecting project files.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

• listNotes{ tags?: string[] }

  List all notes, optionally filtered by tags

  Try:Show me all my notesTry:List notes tagged with 'meeting'
• getNote{ id: string }

  Retrieve a specific note by its ID

  Try:Find my note about project planningTry:Get the note with ID 'meeting-notes-1362'
• writeNote{ id: string, title: string, summary: string, tags: string[], content: string }

  Create or update a note with the provided information

  Try:Create a new note about my vacation plansTry:Update my project notes with the latest updates
• deleteNote{ id: string }

  Delete a note by its ID

  Try:Remove my old meeting notesTry:Delete the note with ID 'old-todo-list'

Comparable tools

Installation

{
  "mcpServers": {
    "mcp-notes": {
      "command": "npx",
      "args": [
        "-y",
        "-p",
        "mcp-notes",
        "mcp-notes-server",
        "--dynamodb",
        "dynamodb://<access_key>:<secret_key>@<region>/<table>"
      ]
    }
  }
}

npx -p mcp-notes mcp-notes-web-server --dynamodb "dynamodb://<access_key>:<secret_key>@<region>/<table>"

FAQ

What storage does this MCP server require?

The server requires AWS DynamoDB for note storage. AWS offers a generous free tier that is suitable for frequent personal use at no cost.

Which AI models are supported?

The server supports any model that supports function calls, including Claude 3.5, Gemini 1.5/2.0, GPT-4, Mistral Large, Grok-2, and DeepSeek Chat.

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