A
licenseNot graded
qualityD
maintenanceA self-hosted backlog tracker with priority scoring and an MCP server, enabling AI agents to autonomously pull, work on, and update tasks via JSON-RPC tools.
MIT
Quarterback
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TDQS
C2.5/5.0
Scored across 24 tools
Disambiguation4/5
Tools are well-differentiated across distinct domains: advisory document workflows (analyze/discuss/adopt), task intelligence (assess/value vs. priorities vs. quick wins), and agent orchestration (mark ready vs. update status). While several tools operate on tasks, their purposes—assessment, prioritization, blocking detection, and agent handoff—are clearly distinct.
Naming Consistency4/5
Follows verb_noun convention consistently (add_task, analyze_advisory_document, detect_conflicts). Minor deviations exist: register_webhook breaks the add_* pattern used for other resources, and mark_task_agent_ready uses 'mark' instead of 'update' compared to update_agent_status, but these are readable exceptions rather than chaos.
Tool Count3/5
With 24 tools, this pushes into the 'heavy' category (16-25 range) for a single server. While the domain (project orchestration + advisory workflows + agent execution + webhooks) justifies complexity, the surface area is large enough that agents may struggle to navigate the full set without careful prompting.
Completeness3/5
Strong coverage of advisory document lifecycles and agent orchestration, but notable gaps in basic CRUD: missing get_project and get_task (forcing reliance on list operations with filtering), and no delete operations for projects, tasks, or advisory documents. Webhooks also lack individual retrieval.
Maintenance
ActivityStale
ResponsivenessNo issues