A
licenseNot graded
qualityA
maintenanceA local-first MCP server for AI coding agents that shares structured execution state, routes context deltas, and provides preflight nudges to prevent conflicts and stale decisions.
MIT
Task Hub MCP
by zjuphD
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TDQS
A4.2/5.0
Scored across 6 tools
Disambiguation5/5
Each tool targets a distinct lifecycle step: init creates, save checkpoints, list queries, load restores, resume reactivates, and stop pauses/archives. The only potential overlap between task_load and task_resume is resolved by task_resume's explicit role in reactivating paused tasks, while task_load requires a name and returns context.
Naming Consistency5/5
All tools follow the consistent pattern task_<verb> in snake_case, with clear verbs (init, save, list, load, resume, stop). This makes the toolset predictable and easy to navigate.
Tool Count5/5
With six tools, the server is well-scoped for task tracking: creation, state saving, listing, loading, resuming, and stopping. No redundancy or unnecessary tools are present.
Completeness5/5
The task lifecycle is fully covered: init creates a task, save persists progress, load retrieves context, resume reactivates, stop pauses or archives, and list provides an overview. No obvious missing operations for the stated purpose.
Maintenance
ActivityStale
ResponsivenessNo issues