OmniFocus-MCP
Related Servers
Alternatives to OmniFocus-MCP
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceA Model Context Protocol server that integrates OmniFocus with Claude Desktop, providing AI-powered access to tasks and projects for enhanced task management and weekly reviews.4906 npm8MIT
- AlicenseBqualityDmaintenanceA Model Context Protocol server that enables automation and management of OmniFocus tasks, projects, and tags using natural language and programmable interfaces from VS Code, command line, or any MCP-compatible client.12MIT
- AlicenseAqualityBmaintenanceAn MCP server that enables AI assistants to interact with OmniFocus on macOS via JXA, supporting task, project, folder, tag, perspective, and search operations.3110 npmMIT
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- AlicenseAqualityBmaintenanceAn MCP server connecting OmniFocus to AI assistants, enabling task and project management via natural language.6906 npmMIT
- AlicenseNot gradedqualityDmaintenanceMCP server that gives AI assistants full control over OmniFocus on macOS, including tasks, projects, tags, folders, perspectives, forecast, notifications, and review workflows.43MIT
TDQS
Scored across 7 tools
Most tools have distinct purposes, but there is some overlap between 'remove_item' and 'batch_remove_items', and 'edit_item' could be confused with individual add/edit operations. The descriptions help clarify, but the boundaries between single and batch operations are not perfectly clear.
All tool names follow a consistent snake_case pattern with clear verb_noun structure (e.g., add_omnifocus_task, edit_item, dump_database). There are no deviations in naming conventions, making the set predictable and readable.
With 7 tools, the count is well-scoped for managing tasks and projects in OmniFocus. Each tool serves a clear purpose, from basic CRUD operations to batch processing and database inspection, without feeling excessive or insufficient.
The tool set provides complete coverage for the OmniFocus domain, including create (add_task, add_project), read (dump_database), update (edit_item), and delete (remove_item, batch_remove_items) operations, plus batch additions. There are no obvious gaps that would hinder agent workflows.