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Related Servers

Alternatives to cc-sensei

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      Not graded
      maintenance
      Enables Claude Code and AI coding agents to retrieve compact, task-shaped code evidence bundles via MCP, combining AST-aware retrieval, hybrid BM25+FAISS search, call-graph traversal, reranking, and token-budgeted context assembly.
      1
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      An MCP server that gives Claude structural understanding of a codebase—dependency graph, entry points, complexity ranking, and import cycles—without reading every file into context.
      4
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Persistent codebase knowledge layer for AI agents. Pre-digests codebases into structured knowledge (symbols, dependency graphs, co-change patterns, architectural decisions) and serves via MCP. 28 languages, 14 tools, ~85% token reduction.
      29 npm
      10
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables Claude Code to retain facts, decisions, and lessons across sessions through local semantic search, and to automatically detect, classify, and trend user corrections as behavioral patterns. It also runs reflection cycles that promote or retire learned frameworks, all through 15 MCP tools and hooks with no cloud dependency.
      6 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI coding agents to index codebases into a queryable knowledge model and ask for the smallest architectural surface a task likely touches, with evidence, confidence, and freshness, via MCP tools.
      Apache 2.0

    TDQS

    A4.2/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: listing modules, getting module content, searching architecture knowledge, searching patterns, tracing concerns, and reading source code. No two tools overlap significantly, and descriptions clarify any potential ambiguity.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern (e.g., get_module, list_modules, trace_concern) with clear, descriptive verbs. No mixing of conventions.

    Tool Count5/5

    Six tools is well-scoped for an architectural knowledge base, providing essential operations without being overwhelming. Each tool serves a necessary role.

    Completeness5/5

    The tool surface covers all major activities: discovering modules (list_modules), retrieving module details (get_module, get_source_code), searching across the knowledge base (query_architecture, trace_concern), and accessing design patterns (search_patterns). No obvious gaps for a read-only reference server.

    Maintenance

    ActivityNo data
    ResponsivenessSyncing