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AWS Cost Explorer MCP Server

by aarora79

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      Enables users to analyze AWS costs, track spending trends, and detect anomalies directly within Claude Desktop using the AWS Cost Explorer API. It provides tools to identify major cost drivers and compare usage across different time periods through natural language queries.
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      Enables querying AWS spend data via Cost Explorer and Amazon Bedrock usage data from CloudWatch logs using natural language. Supports cross-account access, local and remote deployment, and integration with Claude Desktop and LangGraph agents.
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    TDQS

    C2.7/5.0

    Scored across 4 tools

    Disambiguation3/5

    The tools have some overlap in purpose, particularly between the two Bedrock usage tools and the daily breakdown tool, which all involve daily cost/usage data. However, the descriptions clarify distinctions: get_bedrock_daily_usage_stats and get_bedrock_hourly_usage_stats focus on Bedrock service usage (daily vs. hourly), while get_detailed_breakdown_by_day covers broader cost breakdowns across services. The EC2 tool is distinct but limited to a single day.

    Naming Consistency4/5

    The naming follows a consistent verb_noun pattern (get_*_*) throughout, with clear action-object structure. Minor deviations exist, such as get_detailed_breakdown_by_day using 'by_day' instead of a noun like 'daily_breakdown', but overall the pattern is predictable and readable.

    Tool Count2/5

    With only 4 tools, the server feels under-scoped for an 'AWS Cost Explorer' purpose, which typically involves querying costs across multiple services, time ranges, and dimensions. The tools are narrowly focused on Bedrock and EC2, lacking coverage for other AWS services or flexible time-range queries, making the set feel incomplete for general cost exploration.

    Completeness2/5

    There are significant gaps in the tool surface for cost exploration. The server lacks tools for querying costs by service, region, or account over custom time periods, and it misses core operations like filtering, grouping, or forecasting. The tools are limited to specific services (Bedrock, EC2) and fixed time frames, which will cause agent failures when broader cost analysis is needed.

    Maintenance

    ActivityInactive
    ResponsivenessUnresponsive