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athena-mcp

by ampcome-mcps
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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

    A3.5/5.0

    Scored across 15 tools

    Disambiguation5/5

    Each tool targets a distinct resource and action: work groups, catalogs, databases, tables, query executions, and named queries are clearly separated. Even similar tools like get_query_execution and get_query_results are unambiguous because one returns execution status and the other returns result rows.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern using snake_case, such as list_*, get_*, create_*, delete_*, start_*, and stop_*. This makes the API predictable and easy for an agent to navigate.

    Tool Count5/5

    Fifteen tools is well-scoped for an Athena MCP server covering catalog discovery, query execution, and named query management. Each tool earns its place and the count stays within the ideal range without redundancy.

    Completeness4/5

    The core Athena workflow is well covered: discover catalogs/databases/tables, run and manage query executions, and manage named queries. Minor gaps include the absence of update_named_query and limited work group/catalog management beyond listing and getting details.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources