things3-mcp-gtd
An MCP server for Things 3 on macOS that enables AI assistants to manage tasks using the Getting Things Done (GTD) methodology, including capture, clarify, organize, reflect, and engage stages.
README
Things 3 GTD MCP Server
A Model Context Protocol (MCP) server for Things 3 that brings Getting Things Done (GTD) methodology to AI assistants. macOS only.
What it is
This server exposes Things 3 to AI assistants (Claude Desktop, Claude Code, Claude Mobile, ChatGPT, n8n, Cursor, OpenClaw) over MCP. The tools are organized around David Allen's five GTD stages — Capture, Clarify, Organize, Reflect, Engage — so an assistant can help you practice GTD, not just CRUD a task database.
The shift from "database wrapper" to "GTD assistant" reflects a key insight about MCP design: tools should match how agents think about problems, not how the underlying APIs are structured.
Requirements
| Requirement | Notes |
|---|---|
| macOS | Required. The server uses AppleScript and the Things URL scheme — neither work in Linux containers. |
| Things 3 | Installed, with scripting permissions enabled. |
| Python 3.12+ | Modern type hints and f-strings. |
| uv | Recommended package manager. pip works too. |
Installation
pip install things3-mcp-gtd
# or, no install:
uvx things3-mcp-gtd
For a local development install, see docs/DEVELOPERS.md.
Review the Privacy Notice and Terms of Use before running the server.
Configuration
Copy .env.example to .env and set at minimum:
THINGS_AUTH_TOKEN=<paste from Things -> Settings -> General -> Enable Things URLs>
The server reads from environment variables and the .env file via pydantic-settings. All other settings (host, port, debug, auth enforcement) have sensible defaults — see .env.example for the full list.
Alternatively, run the interactive helper:
python scripts/configure_token.py
which writes the token to ~/.things-mcp/config.json.
Quick start
Make sure Things 3 is open, then:
# If installed via pip or uvx
things3-mcp-gtd
# If running from source
uv run server
The server binds to localhost:8009 by default with a single MCP endpoint at /mcp over streamable HTTP.
Connecting an MCP client
Claude Desktop (stdio)
~/Library/Application Support/Claude/claude_desktop_config.json:
If installed via pip:
{
"mcpServers": {
"things3-gtd": {
"command": "things3-mcp-gtd"
}
}
}
If running from source:
{
"mcpServers": {
"things3-gtd": {
"command": "uv",
"args": ["run", "server"]
}
}
}
Claude Desktop / Claude Mobile / ChatGPT (remote HTTPS)
Front the server with an HTTPS tunnel (ngrok, Cloudflare Tunnel, etc.) and point your client at https://<your-tunnel>/mcp. Full walkthrough: docs/agent-access.md.
n8n / OpenClaw / Cursor
See the dedicated guides:
Compatibility deep-dives: n8n + FastMCP, ChatGPT + FastMCP.
Tools
19 GTD-native tools organized by stage:
Capture
| Tool | Purpose |
|---|---|
capture-task |
Quick-capture to Inbox without organizing. |
Clarify
| Tool | Purpose |
|---|---|
process-inbox |
Process the oldest inbox item with GTD decision guidance. |
convert-to-project |
Transform a task into a multi-step project. |
Organize
| Tool | Purpose |
|---|---|
schedule-task |
Create an organized task with context, dates, project, and tags. |
delegate-task |
Mark as Waiting For with a person and follow-up. |
defer-task |
Move to Someday/Maybe or schedule for a future date. |
plan-project |
Create a project with initial tasks atomically. |
modify-task |
Update an existing task or project. |
Reflect
| Tool | Purpose |
|---|---|
daily-review |
Today's tasks, overdue items, and inbox status. |
weekly-review |
Stalled projects, waiting-for items, someday review. |
Engage
| Tool | Purpose |
|---|---|
get-tasks |
Context-first task retrieval (replaces every per-list view tool). |
focus-mode |
Single most important task for the current context. |
complete-task |
Mark done by ID or fuzzy title match. |
Utility
| Tool | Purpose |
|---|---|
search-tasks |
Full-text and filtered search. |
get-projects |
List all projects. |
get-areas |
List all areas of responsibility. |
get-tags |
List all tags. |
show-in-app |
Open a task or project in Things 3. |
get-cache-stats |
Cache performance statistics (debugging). |
GTD context tags
For best results, use consistent GTD tags in Things 3:
Contexts: @computer, @phone, @office, @home, @errands, @anywhere
Energy: high-energy, low-energy
Time: 5min, 15min, 30min, 1hr+
Status: waiting-for
People: @person-name (for agenda items)
Optional: 24/7 remote access
If you want the server reachable from Claude Mobile, ChatGPT, or any agent off your Mac, run it as a macOS LaunchAgent fronted by an HTTPS tunnel. End-to-end walkthrough: docs/agent-access.md. Recovery procedures for the most common operational issue (a hung Apple Event subsystem): docs/runbook-recovery.md.
Development
For setup, architecture, testing, and contributing guidelines, see docs/DEVELOPERS.md.
# CI-safe tests (no Things 3 required)
uv run python -m pytest tests
# Lint and format
uv run ruff check .
uv run ruff format .
This project uses OpenSpec for spec-driven development of significant changes.
Future direction
This is an evolving experiment in GTD-native AI tooling. Potential directions:
- MCP Resources for ambient GTD state (inbox count, stalled projects)
- Smarter context detection based on time, location, and calendar
- Proactive GTD coaching during weekly reviews
- Multi-app GTD — extending the pattern beyond Things 3
Contributions and ideas welcome.
Credits
- Jonathan Lowin — FastMCP
- things.py — Things 3 Python library
- David Allen — GTD methodology
- Cultured Code — Things 3
License
MIT — see LICENSE.
Links
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