A
licenseA
qualityB
maintenanceEnables AI assistants to read and write to OmniFocus database, allowing natural language task management, project creation, and GTD workflows.
4
1
MIT
OmniFocus MCP Server
by mojenmojen
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TDQS
B3.3/5.0
Scored across 31 tools
Disambiguation4/5
Most tools have clearly distinct purposes, and descriptions actively steer agents between single-item and batch variants. However, the query surface (get_tasks_by_tag, filter_tasks, batch_filter_tasks, search_tasks, get_custom_perspective_tasks, get_system_health) has enough conceptual overlap that misselection is still plausible.
Naming Consistency4/5
The set is predominantly snake_case verb_noun and is generally predictable. Minor deviations like add_omnifocus_task, batch_add_items, and the mix of get_task_by_id vs get_tasks_by_tag keep it from being perfectly consistent.
Tool Count2/5
At 31 tools, the surface is heavy for a single MCP server, and much of the count comes from paired single-item and batch tools for the same operations. While OmniFocus is a broad domain, the duplication makes the set larger than necessary.
Completeness3/5
Task and project operations are well covered, including batch workflows, reviews, perspectives, search, and stats. However, folder and tag lifecycle coverage is incomplete (e.g., no clear folder edit/delete/list tools and no explicit tag creation/deletion), creating notable gaps.
Maintenance
ActivityMaintained
ResponsivenessSlow