iflow-mcp_deltatask 0.1.1

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DeltaTask - Advanced Task Management System

A powerful, locally-hosted task management application with Obsidian integration and a Model Context Protocol (MCP) server.

Features

• Smart Task Management: Create tasks with urgency levels and effort estimates
• Prioritization Engine: Automatically sorts tasks by urgency and effort
• Task Decomposition: Split larger tasks into manageable subtasks
• Tagging System: Organize tasks with custom tags
• Local Storage: All data stored locally in SQLite database
• Obsidian Integration: Bi-directional sync with Obsidian markdown files
• MCP Server: Full API access through Model Context Protocol

Technical Details

Data Model

• Tasks: Core task entity with properties:
  • Title and description
  • Urgency (1-5 scale, 5 being highest)
  • Effort (1-21 scale, following Fibonacci sequence)
  • Completion status
  • Parent-child relationships for subtasks
  • Tags for categorization

Database Schema

The application uses SQLite with the following tables:

• todos: Stores all task items and their properties
• tags: Stores unique tag names
• todo_tags: Junction table for many-to-many relationship between tasks and tags

Obsidian Integration

DeltaTask creates and maintains a structured Obsidian vault:

• Task files with frontmatter metadata
• Tag-based views for filtering tasks
• Statistics dashboard
• Bi-directional sync between Obsidian markdown and SQLite database

MCP API Endpoints

The MCP server exposes the following operations:

• get_task_by_id: Get a specific task by ID
• search_tasks: Find tasks by title, description, or tags
• create_task: Create a new task
• update_task: Update a task's properties
• delete_task: Remove a task
• sync_tasks: Sync tasks from Obsidian markdown into SQLite
• list_tasks: List all tasks
• get_statistics: Retrieve metrics about tasks
• create_subtasks: Split a task into multiple subtasks
• get_all_tags: Get all unique tag names
• get_subtasks: Get subtasks for a given parent task
• finish_task: Mark a task as completed

Getting Started

Prerequisites

• Python 3.10+
• SQLite3
• Obsidian (optional, for markdown integration)

Installation

1. Clone this repository

2. Set up the Python environment using uv:

   # Create and activate the virtual environment
   uv venv
   source .venv/bin/activate  # On Windows: .venv\Scripts\activate
   
   # Install dependencies
   uv pip install -r requirements.txt
   

Running the MCP Server

The DeltaTask MCP server can be used with Claude for Desktop:

1. Configure Claude for Desktop:

   • Open or create ~/Library/Application Support/Claude/claude_desktop_config.json
   • Add the DeltaTask server configuration:

   {
     "mcpServers": {
       "deltatask": {
         "command": "uv",
         "args": [
           "--directory",
           "/ABSOLUTE/PATH/TO/DeltaTask",
           "run",
           "server.py"
         ]
       }
     }
   }
   

   • Restart Claude for Desktop

If you run into issues or want more details, check out the Docs for the MCP.

For instance from the docs:

You may need to put the full path to the uv executable in the command field. You can get this by running which uv on MacOS/Linux or where uv on Windows.

2. Use the DeltaTask tools in Claude for Desktop by clicking the hammer icon

Model Context Protocol (MCP)

This application implements a Model Context Protocol approach for task management:

1. Structured Data Model: Clearly defined schema for tasks with relationships
2. Priority Calculation: Intelligent sorting based on multiple factors
3. Hierarchical Organization: Parent-child relationships for task decomposition
4. Tagging System: Flexible categorization for better context
5. Statistics and Insights: Data aggregation for understanding task patterns
6. Obsidian Integration: Markdown-based visualization and editing

License

MIT License