A
licenseNot graded
qualityC
maintenanceEnables AI assistants to manage TickTick tasks and projects via natural language, including CRUD operations, moving tasks, and advanced filtering.
37 npm
MIT
Trackfusion MCP Server
by emre6943
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TDQS
C2.9/5.0
Scored across 76 tools
Disambiguation3/5
Most tools are grouped by clear noun objects, but the sheer number and near-synonymous actions create ambiguity: search_foods vs lookup_barcode vs search_community_foods, get_day_entry vs journal entries, create_item vs create_food_definition, and update_* vs set_* vs add_* all blur boundaries. Descriptions usually clarify, but an agent selecting among 76 tools will still struggle to pick the right one.
Naming Consistency4/5
Names overwhelmingly follow a verb_noun snake_case pattern (list/create/update/delete/get), which is predictable and readable. Consistency is weakened by irregular singular/plural forms (spending/spendings, income/incomes, person/people) and by interchangeable verbs such as add_interaction vs create_*, set_nutrition_goals vs update_*, and log_meal_template vs create_meal_entry.
Tool Count1/5
With 76 tools, the server presents an extreme, unwieldy flat namespace that is very difficult for an agent to navigate during tool selection. Even though each tool spans a different module, the aggregate count far exceeds what is appropriate for an MCP server, especially with many single-purpose tools like water intake helpers.
Completeness2/5
The server covers many domains, but several core lifecycles are incomplete: projects can be listed/shared but not created, tasks have no delete, income has no update/delete, workouts have no update/delete, and journal/day entries cannot be edited or deleted. These gaps will cause agent failures when users try to correct or manage data beyond basic creation.
Maintenance
ActivityInactive
ResponsivenessNo issues