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Jennycruzy

Zetaris MCP Server

by Jennycruzy
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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

    A3.6/5.0

    Scored across 5 tools

    Disambiguation4/5

    The tools mostly target distinct operations: listing databases, listing tables, describing a table, querying, and registering a source. There is some overlap between describe_table and run_query because run_query also accepts DESCRIBE, but the descriptions make the intended use cases reasonably clear.

    Naming Consistency5/5

    All tool names use a consistent snake_case verb_noun pattern: list_databases, list_tables, describe_table, run_query, register_source. The convention is predictable and easy to infer.

    Tool Count5/5

    Five tools is well-scoped for a Zetaris data exploration and query server. Each tool covers a distinct step in the discovery-to-query workflow, with no obviously redundant tools.

    Completeness4/5

    The server covers the core lifecycle of discovering databases, inspecting tables, querying data, and registering sources. Minor gaps remain around removing or updating registered sources and inspecting source metadata, but agents can handle most core workflows.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources