A
licenseA
qualityB
maintenanceAn MCP server that enables AI assistants to interact with OmniFocus on macOS via JXA, supporting task, project, folder, tag, perspective, and search operations.
31
10 npm
MIT
pymnifocus
by vdanen
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TDQS
B3.3/5.0
Scored across 11 tools
Disambiguation5/5
Each tool targets a distinct operation: adding, editing, removing, querying, listing tags/perspectives, etc. The batch variants are clearly separated from single-item operations, and the query/dump tools serve different analytical needs.
Naming Consistency4/5
Most tools follow a clear verb_noun pattern such as add_project, remove_item, list_tags. Minor deviations like dump_database and query_omnifocus use different prefixes, but the overall style remains readable and predictable.
Tool Count5/5
11 tools is well-scoped for an OmniFocus MCP server, covering CRUD operations, batch operations, querying, and viewing perspectives/tags. The count feels balanced and not excessive for the domain.
Completeness4/5
Core lifecycle operations are covered (add, edit, remove, batch, query), along with supporting features like tags and perspectives. Minor gaps exist, such as no explicit 'complete task' tool, but these can be handled via edit_item or query filters.
Maintenance
ActivityStale
ResponsivenessNo issues