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AWS MCP Server

by Havoc24k
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Python
Hybrid

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    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 10 tools

    Disambiguation2/5

    The aws_sdk_wrapper tool creates significant ambiguity as it can perform any AWS operation, overlapping with all other specialized tools. For example, ce-get_cost_and_usage and ce-get_cost_and_usage_with_resources have overlapping purposes with the wrapper, and agents may struggle to choose between them. While the specialized tools are distinct from each other, the generic wrapper undermines clear boundaries.

    Naming Consistency3/5

    Most tools follow a service_verb_noun pattern (e.g., ec2-describe_instances, s3-list_buckets), but aws_sdk_wrapper deviates with a generic name and underscores. The pattern is mixed, with some using hyphens and others underscores, but it remains readable. The inconsistency is moderate, not chaotic.

    Tool Count4/5

    With 10 tools, the count is reasonable for an AWS server, covering key services like EC2, S3, RDS, CloudWatch, and Cost Explorer. It's well-scoped, though it could be slightly expanded for broader AWS coverage. The number is appropriate, not too heavy or thin.

    Completeness3/5

    The server covers read operations well (describe, list, get) but lacks create, update, or delete tools for most services, creating notable gaps. For example, there are no tools to create EC2 instances or S3 buckets. The aws_sdk_wrapper can fill some gaps, but the specialized surface is incomplete for full lifecycle management.

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