Alvin0412

Alvin0412 / structured-cli

Public

Structured CLI: browser-backed CLI and MCP adapter for Structured Web

16
0
69% credibility
Found Apr 03, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A command-line tool and local server that lets users manage tasks, agendas, and settings in the Structured web app by automating interactions through a browser session.

How It Works

1
🔍 Discover the Tool

You hear about a simple way to control your online task planner right from your computer's command line, without always opening the web page.

2
📥 Get It Ready

You easily add the tool to your computer so it's ready to use anytime.

3
🔐 Sign In Once

A browser window pops open to your task planner where you log in, and it remembers your details for future use.

4
Pick Your Way
⌨️
Direct Control

Type simple phrases to list, add, or change tasks in your planner.

🤖
AI Helper Mode

Start a background helper that lets AI assistants manage your tasks automatically.

5
📝 Handle Your Tasks

Add new to-dos, check your schedule, set reminders, or tweak recurring chores just by telling it what you want.

✅ Tasks Mastered

Your planner stays perfectly organized, accessible anytime from your terminal, saving you time and hassle.

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Star Growth

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AI-Generated Review

What is structured-cli?

Structured-cli is a Python CLI tool and stdio MCP server that lets you manage tasks in the closed-source Structured web app without touching the browser UI. It handles inbox tasks, one-off schedules, recurring series, subtasks, notes, and settings via commands like `cli-anything-structured task create` or `structured-mcp` for LLM agents, pulling structured data from the app's browser stores and driving verified UI mutations. For developers, it solves scripting productivity apps that lack APIs, delivering github llm structured output from github structured app workflows.

Why is it gaining traction?

It stands out by automating a popular but opaque task planner through browser-backed flows, avoiding brittle scraping or direct DB hacks—reads hit IndexedDB cleanly, writes use real UI handlers. The MCP server exposes a stable toolset with structured output for AI agents, plus a REPL and JSON mode for scripting. Developers dig the persistent profile reuse and fallback to live DevTools, making github structured data firefox-ready without setup hassle.

Who should use this?

AI builders integrating task management into LLM agents via MCP, like agentic workflows querying "structured clinical interview" style schedules. Script kiddies automating personal inboxes or recurring tasks across days. Python CLI fans tired of manual browser sessions for productivity tools.

Verdict

Grab it if you're in the Structured ecosystem or need github structured text output for agents—docs are crisp, tests cover CLI/MCP, MIT license. At 16 stars and 0.699999988079071% credibility, it's early and niche; test locally before production.

(198 words)

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