@iflow-mcp/ainote-mcp

AI Note MCP Server

A Model Context Protocol (MCP) server that connects AI assistants to your AI Note task management system. This package enables direct interaction with your AI Note tasks through natural language conversations in Claude Desktop and other MCP-compatible platforms.

📚 Complete Project Guide - 전체 프로젝트 가이드 및 아키텍처 정보

Table of Contents

• Access Methods
• Features
• Prerequisites
• Installation
• Configuration
• Usage
• HTTP Endpoint
• Available Tools
• API Reference
• Development
• Troubleshooting
• Contributing
• License

Access Methods

AI Note MCP server is available through three transport options to cover different integration scenarios:

1. stdio Mode (This Package) - For Personal Use

• Installation: npm install -g @ainote/mcp
• Usage: Claude Desktop and other stdio-based MCP clients
• Setup: Local installation with API key configuration
• Best for: Individual users connecting their personal AI Note account to Claude Desktop

2. Local SSE Bridge (ChatGPT / MCP Apps)

• Command: ainote-mcp-http
• Protocol: Server-Sent Events (SSE) + JSON-RPC over HTTP POST
• Usage: ChatGPT Model Context Protocol connectors, other SSE-capable MCP clients
• Setup: Run locally alongside your browser; supports API key or (optional) OAuth bearer tokens
• Best for: Users wanting to expose AI Note tools to ChatGPT without deploying infrastructure

3. Hosted HTTP Endpoint - For Platform Integration

• URL: https://api.ainote.dev/mcp
• Protocol: JSON-RPC 2.0 over HTTP
• Usage: Platform integrations (Kakao PlayMCP, etc.)
• Setup: No installation required, direct API access
• Best for: Third-party platforms and services integrating AI Note functionality

All transports expose the same tool catalog. Choose the option that matches your hosting model and client capabilities.

Features

• 📝 Task Management: Create, update, delete, and list tasks directly from Claude Desktop
• 🏷️ Category Support: Organize tasks with categories
• 🔍 Advanced Search: Search tasks by content, status, and more
• ⭐ Priority Management: Mark tasks as important
• 📅 Due Date Support: Set and manage task due dates
• 🔒 Secure API Integration: Uses API key authentication for secure access

Prerequisites

• Node.js >= 18.0.0
• npm or yarn
• AI Note API access (API key required)
• Claude Desktop with MCP support enabled

Installation

Option 1: Install from npm

npm install -g @ainote/mcp

Option 2: Install from source

git clone https://github.com/ainote-dev/ainote-mcp.git
cd ainote-mcp-server
npm install

Update

Update from npm (Recommended)

To update to the latest version when installed via npm:

npm update -g @ainote/mcp

Or to install a specific version:

npm install -g @ainote/mcp@1.0.2

Update from source

If you installed from source:

cd ainote-mcp-server
git pull origin main
npm install

After updating, restart Claude Desktop to load the new version.

Configuration

To connect the MCP server with Claude Desktop, follow these steps.

Step 1: Get your AI Note API Key

You need an API key from your AI Note account to allow Claude to access your tasks. You can find or generate your API key in the AI Note app's settings screen.

Step 2: Configure Claude Desktop

Add the ainote-mcp server to your Claude Desktop configuration file. This file is located at:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

Open the file and add the following JSON block inside the mcpServers object. Replace your-api-key-here with your actual AI Note API key.

{
  "mcpServers": {
    "ainote": {
      "command": "ainote-mcp",
      "env": {
        "AINOTE_API_KEY": "your-api-key-here"
      }
    }
  }
}

Note: If you need to connect to a self-hosted or different AI Note server, you can add the AINOTE_API_URL environment variable as well.

"env": {
  "AINOTE_API_KEY": "your-api-key-here",
  "AINOTE_API_URL": "https://your-custom-api-url.com"
}

Step 3: Restart Claude Desktop

After saving the configuration file, restart Claude Desktop completely. The new MCP server will be loaded, and you can start managing your AI Note tasks through Claude.

Usage

Once configured, you can interact with your AI Note tasks through Claude:

Example Conversations

You: "Show me my pending tasks"
Claude: I'll retrieve your pending tasks from AI Note...

You: "Create a new task to review the quarterly report by Friday"
Claude: I'll create that task for you with a due date set for Friday...

You: "Mark task ID 123 as completed"
Claude: I'll mark that task as completed...

HTTP Endpoint

For platform integrations and services that prefer HTTP over stdio, AI Note provides a direct HTTP endpoint:

Endpoint URL

POST https://api.ainote.dev/mcp
Content-Type: application/json

Authentication

Authorization: Bearer YOUR_API_KEY

Request Format (JSON-RPC 2.0)

{
  "jsonrpc": "2.0",
  "method": "tools/list",
  "id": 1
}

Response Format

{
  "jsonrpc": "2.0",
  "result": {
    "tools": [...]
  },
  "id": 1
}

Supported Methods

• ping - Health check
• capabilities - Server capabilities
• tools/list - List available tools
• tools/call - Execute a specific tool

Platform Integration Examples

• Kakao PlayMCP: Use the HTTP endpoint for seamless integration
• Custom Applications: Build your own MCP client using the HTTP API
• Enterprise Solutions: Direct server-to-server communication

This HTTP endpoint provides identical functionality to the stdio version, making AI Note MCP accessible to a broader range of platforms and integration scenarios.

Local Development Bridge (ainote-mcp-http)

Run the bundled HTTP/SSE bridge when you need a local endpoint for ChatGPT or other MCP clients that speak SSE:

ainote-mcp-http

By default the server listens on http://localhost:3030 and exposes two endpoints:

• GET /sse – establishes the SSE stream and returns the sessionId
• POST /messages?sessionId=... – receives JSON-RPC payloads from the client
• GET /health – simple health probe for monitoring

Configuration

Environment variable	Description	Default
AINOTE_API_KEY	API key used for MCP key authentication	required
AINOTE_API_URL	Target AI Note API base URL	https://ainote-5muq.onrender.com
AINOTE_MCP_HTTP_PORT	Local port for the SSE server	3030
AINOTE_MCP_ALLOWED_ORIGINS	Comma-separated list of allowed browser origins	any
AINOTE_MCP_ALLOWED_HOSTS	Comma-separated list of allowed Host headers	any
AINOTE_ENABLE_OAUTH_AUTH	Set to true to allow Bearer tokens (OAuth)	false

When OAuth is enabled the server expects Authorization: Bearer ... headers from the client and forwards them to the AI Note API.

Available Tools

list_tasks

List tasks from AI Note with filtering options.

Parameters:

• status (optional): Filter by status - "pending" or "completed"
• limit (optional): Maximum number of tasks (default: 25, max: 500)
• search (optional): Search keyword in task content

create_task

Create a new task in AI Note.

Parameters:

• content (required): Task description
• is_important (optional): Mark as important (boolean)
• due_date (optional): Due date in ISO format
• category_id (optional): Category ID to assign

update_task

Update an existing task.

Parameters:

• id (required): Task ID
• content (optional): New task content
• is_important (optional): Update important status
• completed_at (optional): Mark as completed (ISO format) or null to uncomplete

delete_task

Soft delete a task.

Parameters:

• id (required): Task ID to delete

list_categories

List all available categories.

Parameters: None

API Reference

The MCP server communicates with the AI Note API using the following endpoints:

• GET /api/mcp/tasks - List tasks
• POST /api/mcp/tasks - Create task
• PUT /api/mcp/tasks/:id - Update task
• DELETE /api/mcp/tasks/:id - Delete task
• GET /api/mcp/categories - List categories

All requests require authentication via the Authorization header with your API key.

Development

Running Locally

# Clone the repository
git clone https://github.com/ainote-dev/ainote-mcp.git
cd ainote-mcp-server

# Install dependencies
npm install

# Run the server
npm start

Testing with Claude Desktop

• Update your Claude Desktop config to point to your local development server
• Set environment variables for testing
• Restart Claude Desktop
• Check the MCP connection status in Claude Desktop settings

Project Structure

ainote-mcp-server/
├── index.js          # Main server implementation
├── package.json      # Package configuration
├── README.md         # English documentation
├── README-ko.md      # Korean documentation
└── LICENSE           # MIT license

Troubleshooting

Common Issues

• "API key not found" error

  • Ensure AINOTE_API_KEY is set in your environment or Claude config
  • Check that the API key is valid and has proper permissions

• "Connection refused" error

  • Verify the API URL is correct
  • Check network connectivity
  • Ensure the AI Note API server is running

• "Tool not found" error

  • Restart Claude Desktop after configuration changes
  • Verify the MCP server is properly configured in Claude Desktop

• Tasks not appearing

  • Check API key permissions
  • Verify you're querying the correct status (pending/completed)
  • Try using the search parameter

Debug Mode

To enable debug logging:

export DEBUG=mcp:*

Contributing

We welcome contributions! Please follow these steps:

• Fork the repository
• Create a feature branch (git checkout -b feature/amazing-feature)
• Commit your changes (git commit -m 'Add amazing feature')
• Push to the branch (git push origin feature/amazing-feature)
• Open a Pull Request

Development Guidelines

• Follow the existing code style
• Add tests for new features
• Update documentation as needed
• Ensure all tests pass before submitting PR

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

• 📧 Email: [e-mail]
• 🐛 Issues: GitHub Issues
• 💬 Discord: Join our community

Acknowledgments

• Built with Model Context Protocol SDK
• Powered by AI Note
• Made for Claude Desktop