daily-assistant

name	daily-assistant
description	AI-powered daily task management MCP Server — recommend next task, inherit uncompleted todos, detect overdue, generate reviews. Deterministic ops in code (zero tokens), AI only when needed.
version	2.1.0
metadata	{"openclaw":{"requires":{"bins":"[Truncated]"},"emoji":"📅","homepage":"https://github.com/AsuraNale/daily-assistant-mcp"}}

Daily Assistant MCP Server

A personal task management MCP Server. Deterministic operations (parsing, sorting, statistics) run in Python with zero token cost — AI only steps in when creativity is needed.

Setup

git clone https://github.com/AsuraNale/daily-assistant-mcp.git
cd daily-assistant-mcp
python3 src/setup.py --auto   # Windows: py src/setup.py --auto

The setup wizard creates a .venv, installs dependencies, sets up your data directory, and auto-configures your AI editor. No manual pip install or config editing needed.

Tools

Tool	What it does
recommend_next	Recommends the most important task to work on next
get_today	Reads today's daily task file
inherit_tasks	Carries over uncompleted tasks from yesterday
check_overdue	Detects overdue task files
generate_review	Generates end-of-day review with completion stats
scan_split	Flags tasks >80min or missing time estimates

Resources

Resource	Content
daily://today	Today's task file
daily://dashboard	Dashboard overview
daily://history	7-day completion statistics

Task Format

- [ ] Task description ⏱️45min 📅 2026-03-30 ⏫

Markers: ⏱️ = time estimate, 📅 = deadline, ⏫ = highest priority, 🔼 = high, 🔽 = low.

Design Philosophy

• Zero-token deterministic ops: Parsing, sorting, stats run in Python code
• AI only when needed: Task splitting, creative advice, context-aware suggestions
• Platform-independent: Windows, macOS, Linux. No Obsidian dependency
• Simple data: Plain Markdown files, edit anywhere