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genome-mcp

by gqy20
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Python
Remote

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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

    B3.4/5.0

    Scored across 6 tools

    Disambiguation2/5

    Significant overlap exists: get_data is a super-tool that handles batch queries (like advanced_query), semantic search (like smart_search), and even evolution queries (overlapping with analyze_gene_evolution). This makes it difficult for an agent to know which tool to use.

    Naming Consistency3/5

    Names are all lowercase with underscores, but some are verb_noun (analyze_gene_evolution, get_data) while others are adjective+noun (advanced_query, smart_search) or noun phrases (kegg_pathway_enrichment). The pattern is inconsistent.

    Tool Count5/5

    6 tools is well-scoped for a genomics data server covering querying, evolution, and pathway enrichment. Each tool has a clear purpose despite overlaps.

    Completeness3/5

    The toolset covers data retrieval and some analysis (evolution, enrichment), but lacks common genomics operations like sequence alignment, variant analysis, or expression analysis. Gaps exist but core data access is handled.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources