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gwas-mcp

by muslus
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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

    C2.9/5.0

    Scored across 44 tools

    Disambiguation2/5

    Many tools have overlapping purposes: multiple search tools for genes/proteins (search_ensembl_gene, search_ncbi_gene, search_uniprot) and multiple protein annotation tools (get_protein_details, get_protein_interactions, get_interaction_network). This creates ambiguity for an agent trying to select the right tool.

    Naming Consistency4/5

    Tool names follow a verb_noun pattern with underscores (e.g., annotate_snps, create_manhattan_plot). However, verbs are mixed (get_, search_, calculate_, create_), which is mostly consistent but not perfectly uniform. Minor deviations like 'calculate_genomic_inflation' vs 'ld_pruning' (no verb) reduce consistency slightly.

    Tool Count2/5

    44 tools is high for a GWAS server. Many tools are for searching external databases (10+ search_* tools) that could be consolidated. The server's scope is broad, but the number seems excessive and could overwhelm agents.

    Completeness3/5

    The server covers core GWAS analysis (run_gwas, clump_snps, create_manhattan_plot) and post-GWAS annotation (annotate_snps, enrichment, protein interactions). However, missing meta-analysis, imputation, and fine-mapping tools. Many search tools duplicate functionality, so coverage is moderate.

    Maintenance

    ActivityInactive
    ResponsivenessUnresponsive

    Resources