Best Claude Code MCP Servers for Aws

Access AWS documentation, billing data, and service metadata for cloud infrastructure management

AWS Single Sign-On (SSO) integration enabling AI systems to securely interact with AWS resources by initiating SSO login, listing accounts/roles, and executing AWS CLI commands using temporary credentials.

A lightweight but powerful server that enables AI assistants to execute AWS CLI commands, use Unix pipes, and apply prompt templates for common AWS tasks in a safe Docker environment with multi-architecture support

AWS MCP servers for seamless integration with AWS services and resources.

Multi-cloud pricing comparison across AWS, Azure, GCP, and OCI with 2,700+ instance types. Real-time pricing from public APIs, workload calculators, and migration savings estimator.

A MCP server for LocalStack to manage local AWS environments, including lifecycle operations, infra deployments, log analysis, fault injection, and state management.

Cloud infrastructure analysis for AI coding assistants — detects IaC drift, missing indexes, security gaps, and performance anti-patterns across AWS services and databases. 13 tools, works with Claude Code and Cursor.

Get up-to-date EC2 pricing information with one call. Fast. Powered by a pre-parsed AWS pricing catalogue.

Natural-language cloud architecture intelligence for AWS, GCP, Azure, and Databricks. 19 tools for architecture design, cost estimation, compliance validation (HIPAA, SOC 2, FedRAMP, GDPR, PCI-DSS, Well-Architected), security scanning, Terraform/CloudFormation export, and blast-…

MCP server for RAGStack serverless knowledge bases. Search, chat with AI-generated answers, upload documents/media, scrape websites, and analyze metadata through an AWS-powered RAG pipeline (Lambda, Bedrock, S3, DynamoDB).

Local-first AWS security analyzer that discovers attack paths and generates remediations using graph theory.

An MCP server based on dAWShund to enumerate AWS IAM data, analyze effective permissions, and visualize access relationships across users, roles, and resources. Built for cloud security engineers who want fast, easy and effective insights into AWS identity risk.

When your LLM needs human assistance (through AWS Mechanical Turk)