soycanopa

soycanopa / SupaThings-MCP

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Things 3 MCP server for macOS with SQLite reads, official things:/// URL writes, and semantic planning tools for AI agents.

ai-agent macos mcp model-context-protocol productivity
10
0
100% credibility
Found Mar 22, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

A macOS tool that connects AI assistants to the Things 3 task manager, allowing them to read project structures and safely create or organize tasks.

How It Works

1
🔍 Discover the helper

You hear about SupaThings, a simple bridge that lets your AI chat buddy understand and organize your tasks in the Things app on your Mac.

2
💻 Start it up

You launch the helper with one easy click on your Mac, and it quietly connects to your Things app.

3
🔗 Link to your AI chat

You tell your favorite AI chat, like Claude or another, to use this helper so it can peek into your tasks.

4
💡 AI sees your projects

Now your AI can read your project structure, suggest perfect sections called headings, and recommend where new tasks fit best.

5
✨ Build a new project

You ask the AI to create a fresh project complete with organized sections and starter tasks, all safely added to Things.

6
📝 Organize ongoing tasks

The AI helps move or add tasks to the right sections, keeping everything tidy without you lifting a finger.

🎉 Tasks stay perfect

Your Things app now feels magical, with AI keeping projects structured and priorities clear, freeing you to focus on what matters.

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AI-Generated Review

What is SupaThings-MCP?

SupaThings-MCP is a JavaScript MCP server that lets AI agents like Claude or Copilot interact with Things 3 on macOS, reading project structures via SQLite while writing safely through official things:/// URLs. It solves the gap where agents could only create tasks but not grasp hierarchies like projects, headings, and checklists for smarter planning. Fire it up with npx supathings-mcp for instant access to 37 tools covering lists, searches, and semantic helpers like suggest-headings or task-placement.

Why is it gaining traction?

Unlike basic things-mcp forks like hald/things-mcp or jimfilippou's, it adds semantic planning for agents—tools to infer headings from project goals, summarize structures, and suggest task spots—cutting token waste with compact responses. Developers hook it into Claude Code or Gemini CLI with one command, enabling AI-driven workflows without raw data dumps. The Things-native focus keeps outputs predictable, respecting headings as semantic buckets over Jira boards.

Who should use this?

macOS power users with Things 3 who delegate task organization to AI agents, like indie devs using Claude for project breakdowns or PMs automating todo placement in client work. It's for those tired of manual inbox triage, wanting agents to validate headings before adding tasks to github things 3 setups or personal boards. Pairs well with things mcp claude flows for semantic agents handling things app mcp integrations.

Verdict

Grab it if you're building AI-assisted task systems on Things 3—early promise in docs and smoke tests outweighs 10 stars and 1.0% credibility score, but watch for heading limits in existing projects. Solid v0.4.0 start under Apache-2.0; test via npx before production.

(198 words)

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