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rnaseq-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

    A4.4/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool has a clear, distinct purpose: environment inspection, code execution per language, output retrieval, data exploration (listing and reading), and session reset. No two tools overlap in functionality.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (e.g., describe_session, execute_python, list_data_files). The naming is predictable and easy to interpret.

    Tool Count5/5

    With 7 tools, the server covers all essential activities for RNA-seq analysis: environment setup, code execution, data exploration, output retrieval, and session management. The count is well-scoped and not excessive.

    Completeness4/5

    The tool surface provides a solid foundation for RNA-seq analysis: data listing, reading, execution in both R and Python with relevant packages, output retrieval, and reset. A minor gap is the lack of a direct quality control or standard pipeline tool, but the execution tools suffice.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

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