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Alternatives to cs-ontology

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    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables MCP-capable agents to query a fine-grained computer-science exam knowledge-point graph, map questions to knowledge points, diagnose broken cross-subject links and weak areas, retrieve reviewed analogies, and import user-supplied exam PDFs into a traceable question bank.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to search and traverse the 2022 revised Korean elementary curriculum across 11 subjects, 620 achievement standards, and 2,293 prerequisite relationships. It also supports reverse diagnosis of foundational learning gaps and generates personalized remedial learning roadmaps.
      85 npm
      3
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to search and explore a personal knowledge graph, read sources and concepts, add sources pending approval, and synthesize cited answers over user knowledge.
      MIT
    • A
      license
      B
      quality
      A
      maintenance
      Enables AI agents to act as a state-driven tutoring engine over MCP, with server-side mastery estimation, prerequisite checks, evidence-based assessment, and FSRS spaced review scheduling.
      58
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables LLM agents to query a structured knowledge library for search, explanations, related concepts, learning paths, examples, and cross-domain references via MCP.
      Apache 2.0

    TDQS

    A3.7/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool targets a distinct operation: search vs. single-concept retrieval, single-concept prerequisite path vs. multi-concept shared prerequisites, exam-item mapping vs. wrong-answer diagnosis. The prerequisite-related tools are separated by single vs. multiple concepts, and the diagnostic tool is clearly a workflow wrapper rather than a duplicate.

    Naming Consistency5/5

    All names use snake_case and follow a verb_noun pattern (search_concepts, get_concept, get_prerequisite_path, find_concepts_for_exam_items, rank_shared_prerequisites, diagnose_wrong_answers). Verb choices vary appropriately by action while the convention remains predictable.

    Tool Count5/5

    Six tools are well-scoped for a read-only concept-ontology/diagnostic server; each covers a distinct part of the workflow (search, inspect, prerequisite traversal, exam mapping, shared-prerequisite ranking, diagnosis). No tool appears redundant or missing at the count level.

    Completeness4/5

    The surface covers the core diagnostic workflow and concept/prerequisite/exam lookups, but there is no browse/list-all-concepts operation and no reverse dependency traversal (concepts that depend on a given concept). These are minor gaps an agent can often work around via search and get_concept.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues