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Alternatives to @gnaws/mcp

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    Related Servers

    • A
      license
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      quality
      C
      maintenance
      Enables AI agents to query multi-cloud costs, inventory, waste, and commitments across AWS, GCP, Cloudflare, and OVH through read-only MCP tools.
      Apache 2.0
    • F
      license
      Not graded
      quality
      C
      maintenance
      A read-only MCP server for inspecting AWS resources, detecting misconfigurations, and estimating costs across EC2, S3, and IAM, enabling agents to safely query and analyze cloud infrastructure.
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI agents to query AWS CloudWatch metrics, alarms, and logs read-only via MCP, providing rapid health snapshots and triage without console navigation.
      1
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI agents to run read-only AWS security audits and receive normalized, severity-ranked findings about account posture, such as stale access keys, missing MFA, public buckets, open security groups, and CloudTrail coverage.
      11
      15 PyPI
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI agents to assess AWS environments against the AWS Security Reference Architecture (SRA) by providing tools to discover, describe, and run security checks across AWS services and accounts.
      5
      3
      Apache 2.0

    TDQS

    A4.2/5.0

    Scored across 7 tools

    Disambiguation4/5

    Each tool maps to a distinct action (scan live, load offline, detect orphans, export graph, dump raw data, list regions, show status), but export and dump both involve saving data and detect can also write findings to a file, creating mild overlap. Overall boundaries are clear enough for an agent to select correctly.

    Naming Consistency5/5

    All tool names are single lowercase words following a simple command-style convention (scan, load, detect, export, dump, status). The only non-verb, regions, still fits the same flat lowercase pattern, so there is no style mixing.

    Tool Count5/5

    Seven tools is well-scoped for an AWS resource graph scanning and orphan detection server. Each tool supports a distinct stage in the workflow without redundancy or bloat.

    Completeness4/5

    The core workflow is complete: scan or load builds the graph, status confirms readiness, regions summarizes scope, detect finds orphans, dump enables offline reuse, and export produces output. A minor gap is the lack of a direct resource-listing/query tool, though export formats can serve that purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues