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

An MCP server for Things 3 on macOS that enables reading and writing tasks, projects, and more via Claude, using read-only SQLite and the official Things URL scheme.

Enables any MCP client to search and read 127 FDA guidance documents on clinical research, with tools for ranked passage search, document retrieval, and metadata lookup.

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.

MCP server that gives AI agents read/write access to your Things3 tasks via the Things API.

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

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

Provides tools for vehicle service search, mechanic matching, and booking generation as part of a multi-agent AI system for roadside assistance.

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

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.

Provides an MCP server that tracks open loops (pending decisions or replies) across email, agent sessions, and other channels, enabling agents to query what is waiting on whom.

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.

Lets you use Claude Desktop to interact with your task management data in Things app, enabling you to create tasks, analyze projects, manage priorities, and implement productivity workflows through natural language.

Enables Claude Web users to manage their job application workflow by storing profile and resume data, analyzing job descriptions, preparing applications, and tracking progress — all with manual submission and no platform automation.

Enables interaction with The Things Industries LoRaWAN platform via MCP tools, supporting application, device, gateway, and webhook management.

Enables structured learning with a verified loop: define goals as observable claims, learn through teach-lab-test-gate per claim, and get independently graded by an adversarial examiner to ensure genuine progress.

Enables tracking job applications by connecting Gmail to retrieve emails, process job details, manage statuses, and generate statistics.

A comprehensive Model Context Protocol (MCP) server implementing the latest MCP specification with tools, resources, prompts, and enhanced sampling capabilities that features HackerNews and GitHub API integrations for AI-powered analysis.