Skip to main content

Add your description here

Project description

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.

  1. 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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

iflow_mcp_deltatask-0.1.0.tar.gz (19.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

iflow_mcp_deltatask-0.1.0-py3-none-any.whl (20.2 kB view details)

Uploaded Python 3

File details

Details for the file iflow_mcp_deltatask-0.1.0.tar.gz.

File metadata

  • Download URL: iflow_mcp_deltatask-0.1.0.tar.gz
  • Upload date:
  • Size: 19.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.17

File hashes

Hashes for iflow_mcp_deltatask-0.1.0.tar.gz
Algorithm Hash digest
SHA256 4d93aafbab3f431abc91e8dc0fd4afd497f97878f03c1e1559e2137569ec2d47
MD5 d3609ef571eab8d579f8f6ddc954200e
BLAKE2b-256 dcd9c57d8a4e1c72d9d195e562daa21415f019e3e4b3c8c1ce477788953b4168

See more details on using hashes here.

File details

Details for the file iflow_mcp_deltatask-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for iflow_mcp_deltatask-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 bc77080bd6b280e51592033549c49bd40a5cb99f6b0b4fee35d55c7005804213
MD5 b656df31c9c5661e390364dd56b8b293
BLAKE2b-256 52db0f4e1c81c6b9b9032d1311d023e9dd9c5384c64c5c71deb429a0fac60fa6

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page