OmniFocus MCP Server
Related Servers
Alternatives to OmniFocus MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseBqualityAmaintenanceAn MCP server for AI assistants to query and manage OmniFocus tasks, projects, and tags on macOS.11MIT
- 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
- AlicenseAqualityBmaintenanceAn MCP server that enables AI assistants to interact with OmniFocus on macOS via JXA, supporting task, project, folder, tag, perspective, and search operations.3111 npmMIT
- FlicenseNot gradedqualityBmaintenanceA production-grade MCP server that exposes OmniFocus as structured task infrastructure for AI agents, enabling read, write, and filter operations on tasks and projects via natural language.6-
- AlicenseAqualityFmaintenanceAn MCP server that provides full read/write access to OmniFocus, enabling AI assistants to manage tasks, projects, folders, tags, and perspectives via 51 tools, resources, and prompts.5111 npm21MIT
- AlicenseAqualityAmaintenanceA Model Context Protocol (MCP) server that integrates with OmniFocus to enable Claude (or other MCP-compatible AI assistants) to interact with your tasks and projects.7214 npm241MIT
TDQS
Scored across 6 tools
Each tool has a clear, distinct purpose: create_task is the only mutation, while read-only tools cover specific retrievals (projects, tasks, tags, completed items) and a broad snapshot. No overlaps exist.
All tool names follow a consistent verb_noun pattern with lowercase and underscores (e.g., create_task, get_project). The naming is predictable and well-structured.
With 6 tools covering creation and various read operations, the count is well-scoped for an OmniFocus integration. Each tool earns its place and the set feels neither sparse nor bloated.
The tool surface misses critical CRUD operations like update, delete, and complete tasks. The descriptions explicitly unsupport many common actions, leaving significant gaps for a task management server.