Tiny TODO MCP server

This MCP server implementation allows AI assistants to manage persistent tasks through the Model Context Protocol. By connecting to this server, AI models can create, track, and update tasks that persist beyond their normal context limitations.

Installation

Prerequisites

• Python 3.8 or higher
• pip (Python package manager)

Setup

1. Clone the repository:

git clone https://github.com/yourusername/tiny-todo-mcp.git
cd tiny-todo-mcp

2. Install the required dependencies:

pip install -r requirements.txt

3. Initialize the database:

python -m tiny_todo_mcp.init_db

Running the Server

Start the MCP server with the following command:

python -m tiny_todo_mcp.server

By default, the server runs on port 8000. You can specify a different port using the --port argument:

python -m tiny_todo_mcp.server --port 8080

Using the MCP Todo Service

Connecting to the Server

AI assistants can connect to the MCP server through HTTP requests. The base URL format is:

http://localhost:8000/mcp

Available Todo Operations

Creating a Todo

{
  "name": "create_todo",
  "parameters": {
    "title": "Buy groceries",
    "description": "Need to get milk, eggs, and bread",
    "due_date": "2023-11-30"
  }
}

Updating a Todo

{
  "name": "update_todo",
  "parameters": {
    "todo_id": 1,
    "completed": true
  }
}

Listing Todos

{
  "name": "list_todos",
  "parameters": {
    "completed": false
  }
}

Getting a Specific Todo

{
  "name": "get_todo",
  "parameters": {
    "todo_id": 1
  }
}

Deleting a Todo

{
  "name": "delete_todo",
  "parameters": {
    "todo_id": 1
  }
}

Finding Upcoming Todos

{
  "name": "find_upcoming_todos",
  "parameters": {
    "days": 7
  }
}

Finding Overdue Todos

{
  "name": "find_overdue_todos",
  "parameters": {}
}

Integrating with AI Assistants

When configuring your AI assistant, provide the MCP server URL in your system prompt or configuration. For example:

You have access to a todo management system through MCP at http://localhost:8000/mcp.

The AI can then use the various todo operations by making appropriate calls to the MCP server, allowing it to maintain persistent task information across user sessions.

How to install this MCP server

For Claude Code

To add this MCP server to Claude Code, run this command in your terminal:

claude mcp add-json "tiny-todo-mcp" '{"command":"npx","args":["-y","tinyt-todo-mcp"]}'

See the official Claude Code MCP documentation for more details.

For Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "tiny-todo-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "tinyt-todo-mcp"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.

For Claude Desktop

To add this MCP server to Claude Desktop:

1. Find your configuration file:

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

2. Add this to your configuration file:

{
    "mcpServers": {
        "tiny-todo-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "tinyt-todo-mcp"
            ]
        }
    }
}

3. Restart Claude Desktop for the changes to take effect