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reactome-mcp

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by reactome
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    • reactome-mcp

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    • gwas-mcp

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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

    B3.1/5.0

    Scored across 56 tools

    Disambiguation2/5

    Multiple tools have unclear boundaries: reactome_get_pathway, reactome_query, and reactome_get_entity all return object details; reactome_pathways_for_entity, reactome_search_pathways_of, and reactome_mapping_pathways overlap heavily; reactome_participants and reactome_participating_physical_entities cover similar ground. Descriptions help somewhat but an agent would struggle to select the right tool.

    Naming Consistency4/5

    Almost all tools use a consistent reactome_verb_noun snake_case pattern (analyze, get, export, search), and the prefix is uniform. A few noun-phrase names like reactome_entity_component_of and reactome_analysis_found_entities break the pattern, but the convention is largely predictable.

    Tool Count1/5

    With 56 tools, the surface is extremely large. Many tools are variants (seven search tools, six export tools) that could be consolidated or parameterized, making the server overwhelming and hard to navigate. This far exceeds typical well-scoped MCP servers.

    Completeness5/5

    The tools cover the full read-only Reactome domain: pathway analysis, entity lookup, hierarchy navigation, exports, interactions, Cypher queries, and metadata. There are no obvious dead ends for common biological query tasks, and all major access patterns are represented.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive

    Resources