OmniFocus CLI with MCP Server for AI Assistants

OmniFocus CLI with MCP Server for AI Assistants

OmniFocus CLI with MCP Server is a command-line interface designed to integrate OmniFocus, a popular task management application, with AI assistants. This tool leverages the MCP (Message Passing Protocol) server to enable AI agents to interact with your OmniFocus data, facilitating advanced task management and context retrieval directly from your terminal. It's built for developers and AI builders looking to automate and enhance their productivity workflows by connecting intelligent agents to their personal task infrastructure.

What it Does

This tool provides a robust command-line interface for interacting with OmniFocus. More importantly, it exposes an MCP server that acts as a bridge. AI assistants can connect to this server to query tasks, add new tasks, update existing ones, and retrieve contextual information from your OmniFocus database. This allows for sophisticated automation, such as AI agents proactively suggesting tasks based on your current context or automatically organizing your to-do list.

Key Features

• Fast Command-Line Interface: Efficiently manage OmniFocus tasks from your terminal.
• MCP Server Integration: Enables seamless communication between AI assistants and OmniFocus.
• Task and Context Management: AI agents can read, write, and update tasks, and access associated context.
• Developer-Focused: Designed for integration into custom AI workflows and agent development.
• Open Source: Hosted on GitHub, allowing for inspection and contribution.

Who it's For

OmniFocus CLI with MCP Server is intended for AI developers , prompt engineers , and productivity enthusiasts who utilize OmniFocus for task management. If you are building custom AI agents, automating personal workflows, or seeking to integrate your task list with intelligent systems, this tool provides the necessary infrastructure. It's particularly useful for those who want to empower their AI assistants with direct access to their structured task data for more intelligent and context-aware operations.