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Related Servers

Alternatives to AWS MCP Server

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      A read-only Model Context Protocol server that exposes over 60 AWS tools across services like EC2, S3, and IAM for AI agent interaction. It features multi-region support, resource caching, and audit logging to provide secure, AI-ready access to AWS infrastructure data.
      50 npm
      ISC
    • F
      license
      Not graded
      quality
      Not graded
      maintenance
      Enables direct interaction with AWS S3 buckets through the Model Context Protocol, allowing users to list and manage S3 bucket operations using their AWS credentials.
      -
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables interaction with AWS services (EC2, S3, Lambda, DynamoDB, etc.) through the Model Context Protocol, allowing natural language management of cloud resources.
      2
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables execution of SQL queries against AWS Athena databases with schema discovery, query status management, and result retrieval through a standardized Model Context Protocol interface.
      23
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Talk to AWS CLI from an MCP-speaking agent. Run any aws <service> <operation> command through the Model Context Protocol, with read-only defaults and gated write access.
      MIT

    TDQS

    B3.2/5.0

    Scored across 58 tools

    Disambiguation4/5

    Most tools are clearly distinct, targeting specific AWS services and operations (e.g., list_ec2_instances vs. get_instance_details). However, some overlap exists, such as list_recent_cloudtrail_events and list_cloudtrail_changes, which could cause confusion without careful reading of descriptions. Overall, the domain coverage is broad but well-organized.

    Naming Consistency5/5

    Tool names follow a highly consistent verb_noun pattern throughout, using snake_case uniformly. All tools start with verbs like 'get', 'list', 'check', or 'search', followed by specific nouns, making them predictable and easy to parse. No deviations or mixed conventions are present.

    Tool Count2/5

    With 58 tools, the count is excessive for a single server, making it overwhelming and likely to cause agent confusion. While AWS is a broad domain, this many tools suggests poor scoping; it would be more coherent if split into focused sub-servers (e.g., cost management, security, compute).

    Completeness4/5

    The tool set provides extensive coverage across AWS services, including monitoring, security, cost, and infrastructure, with many CRUD-like operations (e.g., list and get tools). Minor gaps exist, such as limited mutation tools (e.g., no create or delete operations), but agents can still perform comprehensive read-only analysis and diagnostics.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues