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SupaThings MCP

npm version License Node

SupaThings MCP is a Things 3 MCP server for macOS.

It was built to solve a practical gap: AI agents can write to Things via things:///, but they cannot reliably understand your real project structure from URL commands alone.

SupaThings combines SQLite-based reads with official URL-scheme writes, so agents can both understand and act safely.

Table of Contents

Related MCP server: Things MCP

Quick Start

1) Run with npx (no install)

npx -y supathings-mcp

2) Global install from npm

npm install -g supathings-mcp

Alias also available:

things-mcp

3) Build from source

npm install
npm run build
node dist/index.js

4) MCP config example

{
  "mcpServers": {
    "supathings": {
      "command": "npx",
      "args": ["-y", "supathings-mcp"]
    }
  }
}

5) Configure MCP in your client (copy/paste)

Codex:

codex mcp add supathings -- npx -y supathings-mcp

Claude Code:

claude mcp add --transport stdio supathings -- npx -y supathings-mcp

Gemini CLI:

gemini mcp add -s user supathings npx -y supathings-mcp

What This MCP Server Does (and Why It Exists)

MCP servers expose tools over a standard protocol so AI clients can call them programmatically.

In Things, there are two realities:

  • The things:/// URL scheme is excellent for creating/updating/navigating items.

  • URL commands alone do not expose full structural context (project hierarchy, headings, checklist relationships, planning summaries).

SupaThings was built to bridge that split.

Technical approach:

  • Read path: query local Things SQLite data for structure and context.

  • Write path: execute official things:/// URL actions for safe interoperability.

  • Planning path: add semantic tools for heading inference, validation, project summaries, and task placement.

Why this is useful in practice:

  • Better decisions: agents can place tasks under the right heading.

  • Lower token usage: compact structural answers instead of large raw dumps.

  • Safer automation: writes stay on official Things-supported surfaces.

  • More predictable workflows: clear split between data understanding and data mutation.

Current Scope (v0.4.0)

Current release: 0.4.0

Shipped scope today:

  • Tool surface: 37 MCP tools

  • Read model: local Things SQLite database (areas, projects, headings, todos, tags, checklist items)

  • Write model: official things:/// URL scheme

  • Semantic layer: heading inference, heading validation, project structure summaries, task placement suggestions

  • Optional AppleScript actions: runtime-gated

Current boundaries:

  • macOS + local Things installation required

  • recurring template rows are intentionally excluded from read queries

  • headings are easiest to guarantee at project creation time

  • adding missing headings to existing projects remains constrained by Things capabilities

How It Works

Three-layer model:

  • SQLite layer for rich reads of local Things data

  • things:/// layer for writes, updates, moves, and navigation

  • AppleScript layer for optional lightweight app actions (show-quick-entry, log-completed, empty-trash)

This split is deliberate: read from local truth, write through supported Things APIs.

Things-Native Philosophy

SupaThings is opinionated here: Things should be treated like Things.

Headings are modeled as semantic groupings (categories, work blocks, deliverables), not as a Jira-style workflow board by default.

That changes:

  • how headings are inferred

  • how project summaries are generated

  • how task placement is suggested

New project with headings

Use when the project does not exist yet:

  1. suggest-headings

  2. create-project-with-headings

  3. optionally verify with get-projects or get-project-structure

Existing project missing headings

Use when the project already exists but needs structure:

  1. get-headings or suggest-headings

  2. create missing headings manually in Things

  3. validate-headings

  4. create or move tasks into those headings

Why: creating headings is most reliable during brand-new project creation.

Existing project with structure already in place

  1. get-project-structure

  2. summarize-project

  3. suggest-task-placement

  4. create or move tasks into the chosen headings

Available Tools

Current exposed tools: 37

Category

Tools

Read and inspection

app-status, version, get-areas, get-tags, get-projects, get-headings, get-project-structure, get-todos, get-inbox, get-today, get-upcoming, get-anytime, get-someday, get-logbook, get-trash, get-tagged-items, get-recent, search-todos, search-items, search-advanced

Semantic planning

suggest-headings, validate-headings, suggest-task-placement, summarize-project

Write and navigation

add-todo, add-project, create-project-with-headings, update, update-project, update-todo, show, show-item, search, json

Optional AppleScript

show-quick-entry, log-completed, empty-trash

If Apple Events are unavailable, these fail gracefully.

Token and Context Efficiency

SupaThings is designed to reduce context burn in AI workflows.

Current efficiency features:

  • concise text responses

  • structured payloads without duplicating full JSON in text output

  • detail: "compact" | "full" on major read/search tools

  • limit on major list/search tools

  • get-project-structure for lightweight structural inspection

  • summarize-project for planning-focused summaries

  • suggest-task-placement for semantic placement suggestions

Requirements

  • macOS

  • Things 3 installed locally

  • Node.js 22+

  • npm 10+

  • Apple Events permission only if you want optional AppleScript actions

Build and Smoke Tests

npm run build
npm run smoke
npm run smoke:mcp

Smoke coverage includes:

  • server startup over stdio

  • tool listing

  • Things app availability

  • SQLite access

  • project and heading inspection

  • semantic tools (suggest-headings, get-project-structure, suggest-task-placement, summarize-project)

Packaging and Release

Create local tarball

npm pack

Full release guide

See:

  • docs/PUBLISHING_GUIDE.md

Quick release summary:

  1. Validate build and smoke tests.

  2. Commit and push to your GitHub repo.

  3. Create and push an annotated tag (for example v0.4.0).

  4. Create a GitHub release from that tag.

  5. Publish to npm (npm publish --access public).

  6. Verify npx -y supathings-mcp and client setup commands.

Project Structure

Attribution

This project builds on prior work and ideas from:

Licensing and attribution details are included in LICENSE and NOTICE.

Support

  • 🐛 Bug Reports: Open an issue on GitHub (Issues)

  • 💡 Feature Requests: Open an issue with enhancement label (New issue)

  • 📚 Documentation: Check the Things URL scheme docs (Things URL Scheme)

  • 💬 Questions: Open a discussion on GitHub (Discussions)

License

Apache-2.0. See LICENSE and NOTICE.

Available Tools

37 tools
add-projectD

Inputs: title (required), notes, when, deadline, +9 more.

add-todoD

Inputs: title, titles, notes, when, +14 more.

app-statusD

Inputs: no named parameters.

create-project-with-headingsD

Inputs: title (required), goal, work_type, methodology, +10 more.

empty-trashD

Inputs: no named parameters.

get-anytimeD

Inputs: detail, limit.

get-areasD

Inputs: include_items.

get-headingsD

Inputs: project_uuid, include_items, detail, limit.

get-inboxD

Inputs: detail, limit.

get-logbookD

Inputs: period, limit, detail.

get-projectsD

Inputs: include_items, status, area, query, +2 more.

get-project-structureD

Inputs: project_uuid (required).

get-recentD

Inputs: period (required), detail, limit.

get-somedayD

Inputs: detail, limit.

get-tagged-itemsD

Inputs: tag (required), detail, limit.

get-tagsD

Inputs: include_items.

get-todayD

Inputs: detail, limit.

get-todosD

Inputs: project_uuid, include_items, list, area, +4 more.

get-trashD

Inputs: detail, limit.

get-upcomingD

Inputs: detail, limit.

jsonD

Inputs: data (required), auth-token, reveal.

log-completedD

Inputs: ids (required).

search-advancedD

Inputs: status, start_date, deadline, tag, +5 more.

search-itemsD

Inputs: query (required), detail, limit.

search-todosD

Inputs: query (required), detail, limit.

showD

Inputs: id, query, filter.

show-itemD

Inputs: id (required), query, filter_tags.

show-quick-entryD

Inputs: withAutofill.

suggest-headingsD

Inputs: project_uuid, project_title, goal, work_type, +1 more.

suggest-task-placementD

Inputs: project_uuid (required), task_titles (required).

summarize-projectD

Inputs: project_uuid (required).

updateD

Inputs: id (required), auth-token, title, notes, +19 more.

update-projectD

Inputs: id (required), auth-token, title, notes, +14 more.

update-todoD

Inputs: id (required), auth-token, title, notes, +10 more.

validate-headingsD

Inputs: project_uuid (required), expected_headings (required).

versionD

Inputs: no named parameters.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    D1.5/5.0

    Scored across 37 tools

    Disambiguation2/5

    Multiple tools have unclear boundaries and overlapping purposes, such as search/search-advanced/search-items/search-todos and show/show-item, which could cause confusion and misselection. While some tools like get-inbox and get-today have distinct purposes, the significant overlap in search and display functions creates ambiguity.

    Naming Consistency3/5

    The naming follows a mostly consistent verb-noun pattern with hyphens (e.g., get-projects, update-todo), but there are deviations like json, version, and show without clear nouns, and inconsistencies such as add-project vs create-project-with-headings. The pattern is readable but mixed in style.

    Tool Count2/5

    With 37 tools, the count is too high for the apparent task management domain, suggesting bloat and potential redundancy, as seen with multiple search and get variants. This many tools can overwhelm agents and indicate poor scoping, though it's not extreme like 50+.

    Completeness4/5

    Inferred as a task/project management system, the tool set covers core CRUD operations (add, get, update, delete via trash), lifecycle aspects (log-completed, summarize-project), and advanced features like search and suggestions, with only minor gaps such as potential missing bulk operations or detailed configuration tools.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

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