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reactome-mcp

by tc2fh
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Python
Remote

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    • mcp-reactome

      pipeworx-io
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to query the Reactome biological pathway knowledge-base for pathways, participants, and orthologous events using natural language.
      5 npm
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    • reactome-mcp by reactome

      reactome-mcpofficial

      reactome
      A
      license
      B
      quality
      D
      maintenance
      Enables AI assistants to search, browse, analyze, and export biological pathway data from Reactome through natural language.
      56
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    • GenomeMCP

      Eldergenix
      A
      license
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      quality
      D
      maintenance
      Enables AI agents to query clinical genomics databases, retrieve supporting literature, analyze population genetics, and visualize biological pathways.
      18
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    • life-science-mcp

      achillesrasquinha
      A
      license
      A
      quality
      B
      maintenance
      Enables unified access to 110 life science APIs and databases, including genomics, proteomics, chemistry, literature, and clinical data. Users can query genes, proteins, compounds, pathways, and more through natural language.
      3
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.4/5.0

    Scored across 17 tools

    Disambiguation5/5

    Each tool targets a distinct resource and action, from listing species and diseases to fetching entries, exports, and analysis. The only slight overlap between get_event_sbml and download_export is clearly delineated by inline vs. file output, so an agent can reliably select the right tool.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun snake_case pattern (e.g., list_diseases, get_analysis_results, find_pathways_for_entity). Even compound names like get_analysis_not_found maintain the convention, with no camelCase or varied verb styles.

    Tool Count4/5

    At 17 tools, the set is slightly above the typical 3-15 range but well-scoped for Reactome's broad functionality. The tools cover searching, browsing, exporting, and analysis without redundancy, so the count feels justified rather than excessive.

    Completeness4/5

    The tool surface covers core Reactome operations: browsing pathways and entities, searching, exporting in multiple formats, and performing over-representation analysis. Minor gaps exist, such as no direct tool for species-wide reaction lists or advanced API features, but agents can work around these with existing tools.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources