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Comprehensive AWS cloud services integration for infrastructure management, deployment, and monitoring

Official AWS Labs MCP server for AWS Billing and Cost Management that lets AI assistants analyze costs and usage, monitor budgets and anomalies, and surface Cost Optimizer, Savings Plans, and Reserved Instance recommendations.

Official AWS Labs MCP server for AWS CloudTrail that lets AI assistants query account activity for security investigations, compliance auditing, and operational troubleshooting via Event History and CloudTrail Lake SQL.

Official AWS Labs developer-experience MCP server for Amazon DynamoDB that provides expert data-modeling guidance, model validation against DynamoDB Local, source-database analysis, schema conversion, and CDK generation.

Official AWS Labs MCP server for AWS Identity and Access Management that lets AI assistants inspect and manage IAM users, roles, groups, policies, and access keys, with policy simulation and an opt-in read-only mode.

Official AWS Labs fully-managed remote MCP server providing up-to-date AWS documentation, code samples, agent skills, API and CloudFormation regional availability, and CDK/Amplify/Strands guidance over a hosted HTTP endpoint.

Official AWS Labs MCP server that exposes selected AWS Lambda functions as MCP tools without code changes, letting AI assistants invoke your allowlisted functions to reach private resources, databases, and internal applications.

Official AWS Labs MCP server for AWS S3 Tables that lets AI assistants create and query S3-based tables, run read-only SQL for analysis, generate tables from CSV files in S3, and explore table metadata — read-only by default.

Official AWS Labs MCP server for serverless development that gives AI assistants contextual guidance plus tools to initialize, build, deploy, and troubleshoot AWS SAM and Lambda-based serverless applications.

Official AWS Labs MCP server that exposes selected AWS Step Functions state machines as MCP tools without code changes, letting AI assistants run existing Standard and Express workflows that coordinate work across AWS services.

Official AWS Labs MCP server that gives troubleshooting agents task-oriented access to Amazon CloudWatch metrics, alarms, logs, and PromQL queries for AI-assisted root-cause analysis and remediation recommendations.

Official AWS Labs MCP server that lets AI assistants read, search, and get recommendations across AWS documentation, returning pages as clean markdown with no AWS account or credentials required.

Read-only AWS FinOps MCP server that lets Claude query Cost Explorer cost and usage data, compare AWS CLI profiles, filter by tags or dimensions, check AWS Budgets, and audit for stopped EC2 instances, unattached EBS volumes, and unassociated Elastic IP addresses across selected regions.

Validates AWS CloudFormation templates for syntax errors and best practices using cfn-lint v1.40.4+ and AWS CLI v2.27.54+.

Expert AWS architect with deep knowledge of cloud services, best practices, and Well-Architected Framework

Complete AWS infrastructure management toolkit combining cloud architecture expertise, CloudFormation validation, and AWS services integration. Perfect for teams building and maintaining cloud-native applications on AWS.

AWS-maintained proxy and Python library that lets MCP clients and agent frameworks connect to IAM-secured MCP servers on AWS by signing requests with AWS SigV4 credentials.

Official AWS Labs MCP server for Amazon ECS that helps AI assistants containerize applications, deploy them to ECS, troubleshoot deployments, and explore ECS and ECR resources across the container application lifecycle.

Official AWS Labs MCP server for Amazon EKS that gives AI code assistants real-time cluster state visibility and Kubernetes/EKS resource management, from cluster setup through deployment, troubleshooting, and optimization.

Official AWS Labs MCP server for Amazon Location Service that gives AI assistants place search, geocoding, reverse geocoding, nearby and open-now search, and route calculation with waypoint optimization.

Official AWS Labs MCP server for Amazon SNS and SQS that lets AI assistants list and manage SNS topics, subscriptions, and SQS queues and send/receive messages, with resource tagging so it only modifies what it created.

Configure Claude Code on Amazon Bedrock: AWS region resolution, GovCloud inference profiles, credential export caching, service tiers, and CI empty-string pitfalls.

Delega hosted MCP server that creates AWS cost estimates and shareable AWS Pricing Calculator links from natural language without leaving your AI client.

An agent persona for designing multi-cloud infrastructure across AWS, GCP, and Azure using their Well-Architected frameworks: cost optimization, reliability (high availability and disaster recovery), security, and operational excellence.

PreToolUse hook that scans the exact text Claude Code is about to write or edit for high-confidence secret formats (AWS access keys, GitHub tokens, OpenAI keys, Slack tokens, Google API keys, Stripe keys, and private key blocks) and blocks the write with a non-zero exit before the secret ever reaches disk.

A starter kit for database and data-engineering work with Claude: bundles a database-specialist agent and database-expert rules with AWS and Airtable MCP servers and optimize/debug commands.

The official Tigris MCP server (@tigrisdata/tigris-mcp-server) that connects AI agents to Tigris, a high-performance S3-compatible object storage system — listing, creating, and deleting buckets; listing, uploading, and deleting objects; creating folders and files; and generating shareable links — using S3-style access keys against the Tigris endpoint.

The official OpenSearch Project MCP server (opensearch-mcp-server-py) that lets AI assistants query and operate OpenSearch clusters — listing indices, reading mappings, running Query DSL and PPL searches, inspecting shards and cluster health — over stdio or streaming transports, with basic-auth, AWS IAM, and header-based authentication.

Community reusable agent prompt for operating Claude Code on Amazon Bedrock using official setup docs: IAM credential chains, regional model IDs, inference profiles, enterprise network config, quota errors, and Bedrock-specific troubleshooting steps.

A Stop hook that syncs your changed files to cloud storage when a Claude Code session ends, using rclone to push to S3, Google Cloud Storage, or any of its 70+ supported backends.