# OmniFocus MCP Server

> OmniFocus MCP Server — glassyworld-omnifocus-agent-mcp. Use this tool when you need to integrate your OmniFocus task management with AI assistants, enabling seamless project management via natural language inputs. It solves problems of manual task updating and synchronization, allowing for voice-controlled management of tasks and projects. The OmniFocus MCP Server takes natural language commands as input and outputs updated task and project information in OmniFocus.

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

## Description

An MCP server connecting OmniFocus to AI assistants, enabling task and project management via natural language.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ra19505oah)
- **Repository:** <https://github.com/GlassyWorld/Omnifocus-Agent-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": "glassyworld-omnifocus-agent-mcp"
    }
  }
}
```

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