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Alternatives to ai-r

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    Related Servers

    • A
      license
      A
      quality
      C
      maintenance
      Enables AI assistants to query and analyze past Claude Code sessions, providing structured insights like file changes, decisions, errors, and git history across projects.
      11
      9 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables reading and reconstructing local Codex session history through MCP, with verified session resolution, paginated recovery, project discovery, and multi-root project scopes.
      MIT
    • 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.
      1
      10 npm
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Self-hosted MCP server for collecting, searching, and sharing agent session history from Claude Code, Codex, and Cursor, with repository scoping and token-based authentication.
      Apache 2.0

    TDQS

    A4.1/5.0

    Scored across 18 tools

    Disambiguation2/5

    Multiple tools serve overlapping purposes: list_sessions, locate, and search_sessions all find sessions; query, find_file_edits, and find_tool_calls all filter events; session_stats and aggregate largely duplicate each other; session_diff and diff are nearly identical. The descriptions are detailed but the boundaries are vague, making misselection likely.

    Naming Consistency3/5

    The set mixes verb_noun patterns (list_sessions, read_session, find_file_edits) with bare nouns (incidents, network, quotes) and noun_noun compounds (session_stats, session_diff). While each name is readable, the inconsistent conventions and generic verbs like query and aggregate reduce predictability.

    Tool Count3/5

    At 18 tools, the set is heavy, but many tools are explicitly presets over a core (audit_brief, incidents, network, quotes, plan, session_diff) so the count reflects a deliberate tradeoff between convenience and atomicity. The redundancy between aggregate/session_stats and query/find_* makes it feel over-scoped, but it is within the 16-25 heavy range.

    Completeness4/5

    The tool set covers the full audit lifecycle: discovery (list_sessions, locate, search_sessions, detect_current), reading (read_session, get_body), event search (query, find_*), aggregation (aggregate, session_stats), and specialized presets (audit_brief, incidents, network, quotes, plan). Minor gaps exist—e.g., no bulk export or cross-session diff—but the core domain is well covered.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive