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Lambda Performance MCP Server

by jghidalgo
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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

    B3.4/5.0

    Scored across 8 tools

    Disambiguation4/5

    Most tools have distinct purposes, such as analyze_lambda_performance for general metrics, analyze_memory_utilization for memory-specific analysis, and compare_lambda_performance for comparisons. However, analyze_lambda_performance and monitor_real_time_performance could be confused, as both involve performance metrics, though one is general analysis and the other is real-time monitoring.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern using snake_case, such as analyze_lambda_performance, list_lambda_functions, and track_cold_starts. This uniformity makes the tool set predictable and easy to understand.

    Tool Count5/5

    With 8 tools, the server is well-scoped for Lambda performance analysis, covering key areas like monitoring, cost, optimization, and specific metrics. Each tool serves a clear purpose without being overwhelming or insufficient.

    Completeness4/5

    The tool set covers core aspects of Lambda performance analysis, including listing functions, analyzing metrics, cost, optimization, and cold starts. A minor gap is the lack of tools for configuration updates or direct action implementation, but agents can work around this by using recommendations from existing tools.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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