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LocalStack MCP Server

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    • A
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    • A
      license
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      quality
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      maintenance
      Provides a comprehensive suite of tools for interacting with AWS services like S3, EC2, and Lambda using natural language commands. It enables AI assistants to inspect, manage, and operate AWS resources directly through the Model Context Protocol using your local credentials.
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    TDQS

    B3.2/5.0

    Scored across 73 tools

    Disambiguation4/5

    Most tools have distinct purposes, clearly separated by service prefix and action. The main ambiguity is between kinesis_put_record and kinesis_put_records (singular vs. batch), but descriptions clarify the difference. Overall, tools are well-differentiated and easy to navigate.

    Naming Consistency5/5

    All tool names follow a consistent 'service_verb_noun' pattern in snake_case. Verbs like list, create, delete, get, put, and others are used predictably across services. Even nuanced variations like ssm_get_parameters_by_path maintain the same style, resulting in a highly uniform naming convention.

    Tool Count2/5

    With 73 tools, this server is extremely large and exceeds the threshold for a well-scoped set. While it covers many AWS services, an agent would face significant selection overhead. The tool count would be more appropriate if split into smaller, service-focused MCP servers.

    Completeness4/5

    The server covers core CRUD and lifecycle operations for each included AWS service, including S3, SQS, SNS, EventBridge, Kinesis, DynamoDB, Lambda, Secrets Manager, SSM, and SES. Minor gaps exist (e.g., no S3 copy, no SQS visibility timeout update, no Lambda update), but most essential workflows are supported without dead ends.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues