# OmniFocus-MCP

> OmniFocus-MCP — themotionmachine-omnifocus-mcp. Use this tool when you need to manage tasks and projects using natural language commands, or integrate your OmniFocus database with Large Language Models (LLMs) for seamless organization and querying. It solves problems of task management and data accessibility by providing a natural language interface to add, organize, and query your OmniFocus database. This tool is ideal for users who want to leverage LLMs to streamline their workflow and productivity.

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

## Description

Let LLMs interface with your tasks and projects through the Model Context Protocol. Add, organize, and query your OmniFocus database with natural language commands.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/themotionmachine/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": "themotionmachine-omnifocus-mcp"
    }
  }
}
```

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

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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