🎯 OmniFocus Operator

The last OmniFocus MCP Server you’ll ever need.

Production-grade MCP server exposing OmniFocus as structured task infrastructure for AI agents. Agent-first design, SQLite-cached performance, 2,561 tests.

→ See the full landing page — features, architecture, benchmarks, and comparison

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🚀 Quick Start

Prerequisites: macOS, OmniFocus 4, Python 3.12+

🪄 Not sure where this config goes? The setup wizard on the landing page walks you through it step-by-step — including auto-merging with your existing config.

For Claude Desktop

Paste this into ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "omnifocus-operator": {
      "command": "uvx",
      "args": ["omnifocus-operator"]
    }
  }
}

uvx downloads, isolates, and runs the server automatically. No install step.

First run: OmniFocus shows a one-time permission dialog. Tick the box, click Run Script. You won’t see it again.

For Claude Code, OpenCode, Cursor…

Ask your agent — copy this prompt:

Add this MCP server to my client config. Just edit the config file — don’t install anything, don’t run any scripts.

"omnifocus-operator": {
  "command": "uvx",
  "args": ["omnifocus-operator"]
}

⚠️ This doesn’t work with Claude Desktop — Desktop has no config-editing tools. Use the manual paste above.

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✨ Features

• ⚡ 46ms reads — SQLite caching gives 30–60x faster reads than bridge-only servers
• 🛠️ 11 MCP tools — lookups, filtered lists, task creation & editing
• 🤖 Agent-first design — warnings that teach, errors that educate, guidance in every response