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    • A
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      An MCP server that provides a database-backed kanban board with 40+ tools for AI agents to track issues, features, todos, epics, and diary entries across projects, including status workflows, relationships, and semantic search.
      45
      83
      MIT

    TDQS

    A3.5/5.0

    Scored across 26 tools

    Disambiguation4/5

    Most tools map to distinct actions/resources, but get_project's description already includes GitHub connection info, overlapping with get_github_context; list_tasks and list_ai_queue also require careful reading. The batch variants are clearly labeled as bulk versions, reducing confusion.

    Naming Consistency5/5

    All tools use a consistent lowercase snake_case verb_noun pattern such as init_session, list_tasks, complete_ai_task, and batch_get_tasks. The pattern is predictable across session, task, comment, and GitHub operations.

    Tool Count2/5

    At 26 tools, the server exceeds the 25-tool threshold and feels heavy. Several batch_* variants add redundant surface area that could be handled with optional parameters on the singular tools.

    Completeness4/5

    The core lifecycle is well covered: session/context setup, task CRUD and search, comments, kanban states, AI queue handling, GitHub file browsing, and PR creation/commit. Minor gaps such as deleting tasks, updating comments, or checking PR status are workarounds rather than dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues