by themotionmachine · MCP Server · ★ 180
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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
| Stars | 180 |
| Forks | 52 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 54.378/100 |
| Open Issues | 3 |
| Last Updated | 2026-04-10 |
| Created | 2025-04-01 |
| Platforms | mcp, node |
| Est. Tokens | ~148k |
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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 180 GitHub stars.
OmniFocus-MCP is primarily written in TypeScript. It covers topics such as mcp, mcp-server, modelcontextprotocol.
You can find installation instructions and usage details in the OmniFocus-MCP GitHub repository at github.com/themotionmachine/OmniFocus-MCP. The project has 180 stars and 52 forks, indicating an active community.
The top alternatives to OmniFocus-MCP on Agent Skills Hub include mcpcan, mcp-proxy, minecraft-mcp-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.