Supatask

🚀 Supatask

A Redis-based local task manager featuring a modern web interface, a rich CLI, and MCP server integration.

✨ Features

• ✅ Task Management: Perform full CRUD operations and track tasks with tags and status.
• ⏱️ Time Tracking: Start and stop timers for tasks and keep historical records.
• 📊 Filtering: Filter tasks by status, tags, and date ranges.
• 📝 Logging: Maintain activity and system logs for historical analysis.
• 🌐 Web Interface: Enjoy a modern, responsive dark-mode user interface.
• 💻 Rich CLI: Utilize a beautiful command-line interface with tables and colors.
• 🤖 MCP Server: Integrate with an AI assistant via the Model Context Protocol.

🔧 Technical Details

Architecture

• Backend: FastAPI (Python 3.11+)
• Database: Redis with AOF persistence
• Frontend: Vanilla JavaScript with modern CSS
• CLI: Typer + Rich
• Deployment: Docker Compose

🚀 Quick Start

1. Start the Application

# Start Docker containers
docker compose up -d

# Verify services are running
curl http://localhost:8000/health

2. Access the Web Interface

Open http://localhost:8000 in your browser to access the full-featured web UI.

3. Install CLI (Optional)

One-line install:

./install-cli.sh

Manual install:

cd cli

4. Use the CLI

# List tasks
python cli/supatask_cli.py list

# Add a task
python cli/supatask_cli.py add "Fix bug" --tags "urgent,backend"

# Start time tracking
python cli/supatask_cli.py start 1

# Stop time tracking
python cli/supatask_cli.py stop 1

# View logs
python cli/supatask_cli.py logs --limit 20

💻 Usage Examples

CLI Commands

API Endpoints

Tasks

• POST /tasks - Create task
• GET /tasks - List tasks (query params: status, tags, created_after, created_before)
• GET /tasks/{id} - Get task details
• PUT /tasks/{id} - Update task
• DELETE /tasks/{id} - Delete task
• POST /tasks/{id}/start - Start timer
• POST /tasks/{id}/stop - Stop timer

Logs

• GET /logs - Get logs (query params: log_type, start_time, end_time, limit)

MCP (HTTP Streamable Transport)

• POST /mcp/ - JSON-RPC 2.0 endpoint (initialize, tools/list, tools/call, ping)
• GET /mcp/ - Optional SSE stream for server-initiated messages

MCP Integration

Supatask includes an MCP server implementing the HTTP Streamable Transport (MCP spec 2025-06-18) for AI assistant integration.

Available Tools

• create_task - Create tasks with tags
• read_task - Read task details
• list_tasks - List tasks with filters
• update_task - Update tasks
• delete_task - Delete tasks
• get_logs - Retrieve activity/system logs

Claude Code Configuration

Add to ~/.config/claude-code/mcp.json:

{
  "mcpServers": {
    "supatask": {
      "url": "http://localhost:8000/mcp/",
      "transport": "http"
    }
  }
}

Protocol Details

• Specification: MCP 2025-06-18
• Transport: HTTP Streamable
• Message Format: JSON-RPC 2.0
• Session Management: Via Mcp-Session-Id headers

Example Usage

# Initialize connection
curl -X POST http://localhost:8000/mcp/ \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","method":"initialize","params":{"protocolVersion":"2025-06-18","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}},"id":1}'

# List available tools
curl -X POST http://localhost:8000/mcp/ \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","method":"tools/list","id":2}'

# Create a task
curl -X POST http://localhost:8000/mcp/ \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"create_task","arguments":{"title":"My Task","tags":["work"]}},"id":3}'

Data Model

Tasks are stored in Redis with the following structure:

task:{id}          Hash with title, description, status, created_at, updated_at
task:{id}:tags     Set of tags
task:{id}:time     Stream of time tracking entries
tasks              Set of all task IDs
tasks:by_status:{status}  Set of task IDs by status
logs:activity      Stream of user-facing activity logs
logs:system        Stream of debug/system logs

📚 Documentation

Development

Backend Development

The backend supports hot reload in development mode:

docker-compose up

Edit files in backend/ and the server will automatically reload.

Stopping the Application

docker-compose down

To also remove the Redis data volume:

docker-compose down -v

Configuration

Environment variables (set in docker-compose.yml):

• REDIS_URL - Redis connection URL (default: redis://redis:6379)
• LOG_LEVEL - Logging level (default: INFO)

📄 License

MIT