"Guidance on interacting with the Things application" matching MCP servers:

Enables Claude to interact with Things 3 on macOS, allowing users to create, update, and manage to-dos and projects, list tasks, search items, and navigate through Things lists using natural language.

Composite MCP server for Things 3 on macOS that bundles multiple read calls into single requests, enables batch writes, and provides a self-healing read path to handle TCC protection issues.

An MCP server for Things 3 on macOS that enables AI assistants to create, read, update, and manage tasks and projects. It utilizes the Things URL scheme for write operations and AppleScript for querying data from the app.

Enables MCP clients to manage Things 3 tasks locally on macOS, including searching, creating, editing, scheduling, moving, completing, and trashing tasks through supported automation interfaces.

Enables interaction with the Things app through Claude Desktop, allowing task creation, project analysis, and priority management using natural language commands.

Enables Claude to interact with Things 3 task management, allowing creation, analysis, and management of tasks, projects, and tags via natural language.

Enables Claude to interact with task management data in the Things app, including creating tasks, managing projects, searching, and organizing priorities.

An MCP server that integrates with the Things productivity app to create, update, and manage todos and projects using its URL scheme.

Read-only MCP server for Things 3 to retrieve completed tasks by date, weekly summaries, and project reports for analysis and reflection.

A CLI MCP server for Things 3, enabling programmatic access to todos and projects with filtering by due date.

An MCP server that lets Claude read and write your Things 3 tasks on macOS via AppleScript.

An MCP server that allows AI assistants like Claude Code, Claude Desktop, and Cursor to interact with Things.app on macOS, enabling task creation, updates, viewing, scheduling, and organization through natural language.

A privacy-first MCP server for locally managing job, fellowship, and graduate-school applications. It offers tools for tracking application status, analyzing role fit, generating LaTeX CV/cover letters, interview prep, and discovering public jobs from ATS APIs.

Enables safe read and edit operations on Things 3 tasks, projects, and checklists using only documented AppleScript and URL scheme APIs, without accessing private databases.

An integration that allows Cursor AI to generate images through the Draw Things API using natural language prompts.

A local-first, open-source MCP server that analyzes jobs, matches your CV, tailors documents, and tracks applications — all on your machine with no data uploaded.

Enables turning Gmail messages and natural-language requests into reviewed, workload-aware Things 3 tasks, with read-only Gmail access and explicit approval before anything is created.

Enables AI assistants to query, filter, and update job application records, and to analyze skill demand across postings.

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

Enables interaction with the Things app for task management, allowing natural language task creation, project analysis, and priority management.