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prashantgupta123

AWS FinOps MCP Server

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    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables natural language analysis of AWS cloud costs, waste audits, and budget insights across multiple profiles and regions.
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables analyzing AWS cloud costs through natural language queries, providing cost summaries, anomaly detection, idle resource identification, rightsizing recommendations, and tagging compliance via Claude.
      10
      12 npm
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables users to analyze AWS cloud costs, audit for waste, monitor budgets, and generate FinOps insights through natural language across multiple AWS profiles and regions while keeping credentials local.
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables natural language analysis of AWS costs, automated FinOps waste audits, and budget monitoring across multiple profiles and regions while keeping credentials secure locally.
      29 PyPI
      184
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables natural-language analysis of AWS cloud costs, waste and savings audits, and budget monitoring across multiple accounts and regions while keeping credentials local.
      -
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables users to query AWS cloud cost and usage data, audit accounts for wasted resources like idle EC2 instances and unattached volumes, and check budget status across multiple profiles and regions using natural language. Credentials stay local, with requests made directly to AWS using existing CLI profiles.
      -

    TDQS

    B3/5.0

    Scored across 76 tools

    Disambiguation4/5

    Tools are highly specific to different AWS services and optimization aspects, with clear distinctions like 'find_unused_ebs_volumes' vs. 'find_ebs_volumes_with_old_types'. However, some overlap exists, such as multiple 'find_unused_' tools across services that could be conceptually similar, though descriptions clarify the target resource.

    Naming Consistency5/5

    All tools follow a consistent snake_case pattern with clear verb_noun structures: 'analyze_', 'find_', 'generate_', 'get_'. This uniformity makes the tool set predictable and easy to navigate, despite the large number of tools.

    Tool Count2/5

    With 76 tools, the count is excessive for an MCP server, making it overwhelming for agents to manage. While AWS FinOps is a broad domain, this many tools suggests fragmentation rather than a well-scoped set, likely leading to confusion and inefficiency.

    Completeness5/5

    The tool set comprehensively covers AWS FinOps, including cost analysis, resource optimization, performance monitoring, and security compliance across numerous services. There are no obvious gaps; tools address both proactive recommendations and reactive findings for cost savings and efficiency.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues