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Related Servers

Alternatives to hpo-link

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to query Human Phenotype Ontology clinical phenotype terms, navigate term hierarchies, and retrieve gene-disease and disease-phenotype annotations through keyless MCP tools.
      383 npm
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      An MCP server that enables querying rare-disease data from Orphanet, including disease nomenclature, cross-references, classifications, gene associations, HPO phenotypes, epidemiology, and natural history.
      19
      MIT
    • A
      license
      B
      quality
      A
      maintenance
      MCP server that exposes the Open Targets Platform GraphQL API as a set of tools for querying biomedical data such as targets, diseases, drugs, and genetic evidence.
      68
      71 PyPI
      19
      MIT

    TDQS

    A4.1/5.0

    Scored across 17 tools

    Disambiguation4/5

    Most tools have crisp boundaries: direct vs transitive hierarchy (parents/ancestors, children/descendants) is explicitly contrasted in descriptions, and the inverse-direction pairs (get_genes_for_disease / get_diseases_for_gene, etc.) are unambiguous. The one soft overlap is resolve_xref vs resolve_term (which also accepts xref CURIEs) and map_cross_ontology, though descriptions disambiguate them adequately.

    Naming Consistency5/5

    Uniform snake_case with a consistent verb_noun convention throughout (get_term, get_term_ancestors, resolve_term, search_terms, map_cross_ontology). The relationship queries all follow the same 'get_X_for_Y' pattern, making the set highly predictable.

    Tool Count5/5

    17 tools is well-matched to a knowledge base spanning ontology navigation plus the gene/phenotype/disease annotation triangle. Each tool covers a distinct axis (resolution, search, hierarchy, cross-refs, annotation cross-products), so none feel redundant.

    Completeness4/5

    Strong coverage of term resolution, hierarchy traversal in both directions (direct and transitive), cross-refs both ways, and all six gene/phenotype/disease annotation directions. Minor gap: no direct record lookup for a disease or gene entity (metadata), and no annotation evidence/detail access, but core workflows are covered.

    Maintenance

    ActivityActive
    ResponsivenessResponsive