OmniFocus-MCP — security grade SAFE, quality 70/100

Security audit verdict: SAFE · quality 70/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by themotionmachine · MCP Server · ★ 242

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is OmniFocus-MCP safe to install? View the security audit →

About OmniFocus-MCP

OmniFocus MCP Server A Model Context Protocol (MCP) server that integrates with OmniFocus to enable Claude (or other MCP-compatible clients) to interact with your tasks and projects. Overview This MCP server creates a bridge between AI assistants (like Claude) and your OmniFocus task management system. It gives AI models the ability to view, create, edit, and remove tasks and projects in your OmniFocus database through natural language conversations. Some ways you could use it: Translate the PDF of a syllabus into a fully specified project with tasks, tags, defer dates, and due dates. Turn a meeting transcript into a list of actions Create visualizations of your tasks, projects, and tags Process multiple tasks or projects in a single operation Bulk manage your OmniFocus items efficiently Roadmap Add MCP features Support manipulating notifications for projects and tasks See the GitHub issues for feature requests and known issues Quick Start Prerequisites macOS with OmniFocus installed Connecting to Claude In Claude Desktop, add this MCP server to your configuration file at: Add the following configuration: json { "mc

mcpmcp-servermodelcontextprotocolomnifocustask-management

Quick Facts

Stars242
Forks69
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score69.7743365565889/100
Open Issues3
Last Updated2026-09-18
Created2025-04-01
Platformsmcp, node
Est. Tokens~17k

Compatible Skills

These tools work well together with OmniFocus-MCP for enhanced workflows:

  • atlas-mcp-server — semantic(0.37)+rare_topics+same_lang+similar_pop+shared_platform (48%)
  • vikunja-mcp — semantic(0.35)+rare_topics+same_lang+similar_pop+shared_platform (47%)

OmniFocus-MCP alternative? Top 6 similar tools

Looking for a OmniFocus-MCP alternative? If you're comparing OmniFocus-MCP with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • atlas-mcp-server by cyanheads · ⭐ 478

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Frequently Asked Questions

What is OmniFocus-MCP?

OmniFocus-MCP is Let LLMs interface with your tasks and projects through the Model Context Protocol. Add, organize, and query your OmniFocus database with natural language commands.. It is categorized as a MCP Server with 242 GitHub stars.

What programming language is OmniFocus-MCP written in?

OmniFocus-MCP is primarily written in TypeScript. It covers topics such as mcp, mcp-server, modelcontextprotocol.

How do I install or use OmniFocus-MCP?

You can find installation instructions and usage details in the OmniFocus-MCP GitHub repository at github.com/themotionmachine/OmniFocus-MCP. The project has 242 stars and 69 forks, indicating an active community.

What license does OmniFocus-MCP use?

OmniFocus-MCP is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to OmniFocus-MCP?

The top alternatives to OmniFocus-MCP on Agent Skills Hub include minecraft-mcp-server, mcpcan, mcp-proxy. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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