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    • A
      license
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      quality
      B
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      Provides semantic code intelligence tools (search, structural views) and a workspace TUI interface for LLM agents to efficiently navigate codebases, manage context, and maintain architectural patterns across Python, Java, C++, and Perl projects.
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    • A
      license
      A
      quality
      C
      maintenance
      Enables AI coding agents to retrieve cited git-history explanations for files and tickets, compile a Team Engineering Contract from repository artifacts, and follow guided Understand/Build workflows over MCP stdio. It lets clients such as Grok, Claude Code, Codex, Kiro, and Cursor share the same tools for evidence-backed repository understanding.
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    • A
      license
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      quality
      A
      maintenance
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      0
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    • F
      license
      Not graded
      quality
      Not graded
      maintenance
      Enables building and querying code knowledge graphs for project analysis, with tools for exploring code relationships, managing workflows, and automating development tasks. Integrates with Git and GitHub for branch management and pull request creation.
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    • A
      license
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      quality
      B
      maintenance
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    TDQS

    B3.4/5.0

    Scored across 32 tools

    Disambiguation3/5

    The 32 tools overlap in several clusters, including bootstrap_session/route_task, list_knowledge_topics/list_tasks/list_task_types, explain_abstraction/explain_pass, and the multiple status/health tools. Detailed cross-references help, but an agent still faces ambiguous choices among status, listing, trace, and routing operations.

    Naming Consistency4/5

    All names use lowercase snake_case consistently, with clear descriptive terms. However, the pattern mixes verb-first conventions (list_tasks, run_task, explain_pass) with noun-phrase conventions (collective_status, repository_health, bootstrap_session) rather than a strict verb_noun scheme.

    Tool Count2/5

    32 tools is heavy for a single MCP server and exceeds the 25+ threshold where sets often become hard to navigate. The broad domain earns some of them, but the total still feels over-scoped relative to what an agent can comfortably disambiguate.

    Completeness4/5

    The surface covers discovery, reading, search, explanation, status, verification routing, and task execution, so most agent workflows have a path. Minor gaps remain, such as no dedicated write/update/delete operations and no direct document search, though these may be intentional for a largely read-only orchestration server.

    Maintenance

    ActivityNo data
    ResponsivenessNo issues