by wbopan
Integrate with the best to do list app for macOS—Things. Enjoy advanced task management, database export, and project cr
Connects AI assistants to the Things.app task manager on macOS, allowing direct creation and management of tasks and projects.
Things is a community-built MCP server published by wbopan that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate with the best to do list app for macOS—Things. Enjoy advanced task management, database export, and project cr It is categorized under productivity.
You can install Things in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Things is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Useful MCP listing: Things is the kind of server we cite when onboarding engineers to host + tool permissions.
We wired Things into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
According to our notes, Things benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Strong directory entry: Things surfaces stars and publisher context so we could sanity-check maintenance before adopting.
I recommend Things for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Things is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Things reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Things has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Things is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Things reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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Control your Things.app tasks directly from Claude Code, Claude Desktop, Cursor, and other AI assistants using the Model Context Protocol (MCP).
This MCP server lets AI assistants interact with your Things.app tasks on macOS. You can:
For updating existing tasks, you need an authorization token:
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):
{
"mcpServers": {
"things": {
"command": "npx",
"args": ["@wenbopan/things-mcp"],
"env": {
"THINGS_AUTH_TOKEN": "your-token-here"
}
}
}
}
Create .cursor/mcp.json in your project or ~/.cursor/mcp.json globally:
{
"things": {
"command": "npx",
"args": ["@wenbopan/things-mcp"],
"env": {
"THINGS_AUTH_TOKEN": "your-token-here"
}
}
}
After configuration, restart your AI assistant to load the MCP server.
"Show me my today's tasks and create a project for the new marketing campaign with initial tasks for research, design, and content creation."
"Update the mobile app project to add design review and testing tasks, then schedule the design review for next Monday."
"Move all my unscheduled shopping tasks to the 'Personal' area and tag them with 'weekend'."
"Give me a summary of all active projects with their deadlines and completion status."
"Create a task to call the dentist, schedule it for tomorrow, and set a deadline for end of week."
MIT
Issues and pull requests welcome! Please ensure all tests pass before submitting.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.