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  • A
    license
    A
    quality
    C
    maintenance
    Read-only AWS account audit: finds public S3 buckets, missing root and user MFA, unused access keys, world-open security groups, CloudTrail gaps, and forgotten EC2/EBS/RDS spend across every region. Only makes Describe/List/Get calls and runs locally with your own AWS credentials.
    7
    MIT
  • A
    license
    B
    quality
    D
    maintenance
    Enables management and provisioning of AWS resources like EC2, S3, and RDS using natural language prompts through the Model Context Protocol. It allows users to automate complex infrastructure tasks, such as setting up VPCs and security groups, via a chat interface.
    54
    15 npm
    27
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Runs on Cloudflare Workers to let MCP clients execute AWS API commands with your own credentials via SigV4-signed HTTPS requests. Supports common S3, EC2, IAM, Lambda, and STS operations plus a generic escape-hatch for any AWS API call.
    15 npm
    ISC
  • A
    license
    Not graded
    quality
    D
    maintenance
    Connects AI assistants to AWS infrastructure through AWS IAM Identity Center for secure, natural language management of cloud resources across multiple accounts. It enables users to execute AWS CLI commands, monitor resources, and run remote shell commands on EC2 instances via Systems Manager.
    500 npm
    15
    ISC
  • A
    license
    A
    quality
    A
    maintenance
    A small AWS MCP for AI assistants: one server, one config entry, SSO re-auth baked in, generic CRUD over hundreds of resource types, live docs lookup, server-side scripting for batched workflows.
    28
    392 npm
    5
    MIT
  • F
    license
    A
    quality
    C
    maintenance
    Enables MCP clients to query AWS Billing and Cost Management data via local AWS CLI, including cost usage, forecasts, anomalies, budgets, and commitment utilization for analysis.
    7
    1
    -
  • A
    license
    A
    quality
    D
    maintenance
    Multi-cloud pricing comparison MCP server that enables natural language queries to compare compute, storage, egress, and Kubernetes costs across AWS, Azure, GCP, and OCI.
    31
    66 npm
    4
    Apache 2.0
  • A
    license
    A
    quality
    D
    maintenance
    Enables AI assistants to execute SQL queries against AWS Athena databases, check query status, retrieve results, and manage saved queries with support for both local and remote deployment via Lambda.
    5
    672 npm
    MIT
  • A
    license
    B
    quality
    B
    maintenance
    Enables AI assistants to look up Oracle Cloud Infrastructure pricing and estimate monthly costs, including corrected PostgreSQL 4-SKU breakdowns, Windows licensing, and USD-to-BRL conversion with Brazilian tax gross-up. All estimates are paid-by-default, with Always Free applied only to network egress, public IPs, and VCN.
    46
    47 npm
    Apache 2.0
  • A
    license
    B
    quality
    D
    maintenance
    Provides Oracle Cloud Infrastructure pricing data to AI assistants, enabling cost estimation, shape comparison, and real-time pricing queries.
    45
    47 npm
    5
    Apache 2.0
  • F
    license
    C
    quality
    D
    maintenance
    A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with your AWS environment. This allows for natural language querying and management of your AWS resources during conversations. Think of better Amazon Q alternative.
    1
    3
    296
    -
  • F
    license
    C
    quality
    D
    maintenance
    A Model Context Protocol server allowing Claude AI to interact with AWS resources through natural language, enabling users to query and manage AWS services without using the traditional AWS Console or CLI.
    3
    6
    -
  • A
    license
    Not graded
    quality
    B
    maintenance
    An MCP server that runs on AWS Lambda, enabling MCP clients like Claude Desktop to invoke tools such as weather forecasts via serverless infrastructure with OAuth authentication.
    MIT