# OmniFocus

> Use this tool when you need to automate task and project management on macOS, integrating with OmniFocus to streamline workflows and increase productivity. It solves problems such as manual task tracking and project organization by providing a JavaScript interface to create, update, and manage tasks and projects. It takes input in the form of JavaScript commands and outputs task and project data, ideal for use in automated workflows and custom integrations.

Canonical page: https://skillsregistry.net/skills/leedoughty-omnifocus  
JSON: https://api.skillsregistry.net/v1/skills/leedoughty-omnifocus

## Description

Integrates with OmniFocus on macOS using JavaScript for Automation (JXA) to provide task and project management capabilities. Supports retrieving tasks and projects, creating and updating tasks, marking tasks complete with safety checks, and creating new projects with configurable types and folder assignments.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/leedoughty-omnifocus)
- **Repository:** <https://github.com/leedoughty/omnifocus-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "leedoughty-omnifocus"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/leedoughty-omnifocus` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/leedoughty-omnifocus/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt