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aws-athena-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

    A3.6/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no overlap: get_result retrieves results, get_status checks status, list_saved_queries lists queries, run_query executes new queries, and run_saved_query executes saved ones. The descriptions make it unambiguous which tool to use for each operation.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern with snake_case: get_result, get_status, list_saved_queries, run_query, and run_saved_query. This predictable naming makes it easy for agents to understand and select tools.

    Tool Count5/5

    With 5 tools, this server is well-scoped for AWS Athena operations. Each tool earns its place by covering essential query lifecycle functions: listing, executing (both new and saved), checking status, and retrieving results. This is an appropriate number for the domain.

    Completeness4/5

    The tool set provides complete coverage for core Athena workflows: create/run queries (run_query, run_saved_query), monitor (get_status), and retrieve results (get_result), with list_saved_queries for discovery. A minor gap is the lack of tools for managing saved queries (e.g., create, update, delete), but agents can work around this.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources