"Amazon EKS" matching MCP servers:

Enables AI assistants to analyze Amazon EKS node logs collected by the EKS Log Collector script. It provides tools and troubleshooting workflows for diagnosing issues with VPC CNI, kubelet, DNS, and general node connectivity.

A high-performance Model Context Protocol (MCP) server that provides seamless integration with Amazon DataZone services. This server enables AI assistants and applications to interact with Amazon DataZone APIs through a standardized interface.

Enables querying Amazon EKS cluster metrics from the Kubernetes API server, with filtering by metric name and labels, supporting both exact and regex patterns.

Provides access to Amazon Bedrock's Nova Canvas model for AI image generation.

Enables creating and managing AWS EKS clusters via Terraform, including VPC, node groups, add-ons, and kubectl configuration.

Auto-generates MCP tools for all Amazon DataZone API operations, enabling natural language management of SageMaker Catalog resources.

This read-only MCP Server allows you to connect to Amazon S3 data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Deploys a minimal MCP-compatible Python tool server on Amazon EKS that establishes an outbound WebSocket connection to an AgentCore Gateway. It exposes two tools (get_system_info and echo_data) for tool discovery and invocation through the MCP protocol.

Enables scanning of EKS cluster maturity and repository configuration through MCP tools, providing diagnostic reports as markdown.

A Model Context Protocol server that provides programmatic access to Amazon EKS clusters, allowing AI assistants to manage and interact with Kubernetes resources. It exposes cluster operations like listing pods as callable tools through a standardized interface.

An MCP server that gives LLM agents full access to Amazon DynamoDB, supporting table management, querying, scanning, and item CRUD operations.

Enables AI assistants to query and retrieve information from Amazon Bedrock Knowledge Base using the Retrieve API, returning search results with content, location, and relevance scores.

Enables natural language management of files on CloudSee Drive (Amazon S3) including browsing, searching, uploading, downloading, sharing, and organizing, with confirmation for destructive actions.

Enables management of Amazon Bedrock Knowledge Bases including creation, data source configuration, document ingestion, and RAG (Retrieval-Augmented Generation) queries with support for multiple embedding models and custom parsing/chunking strategies.

Provides image generation capabilities using Amazon Nova Canvas through Amazon Bedrock, enabling the creation of visuals from text prompts and color palettes—perfect for mockups, diagrams, and UI design concepts.

Kubernetes cluster cost analysis and optimization. Query costs, find savings opportunities, get rightsizing recommendations, and analyze pod spend across AKS, EKS, and GKE — directly from Claude

MCP server for Amazon MWAA that enables managing Airflow environments, DAGs, runs, task instances, and configurations through natural language, using secure AWS-native API access and read-only by default.

Provides tools to validate SageMaker workloads against the six pillars of the AWS Well-Architected Framework, returning findings with severity levels and recommendations.

An Amazon S3 Model Context Protocol server that allows Large Language Models like Claude to interact with AWS S3 storage, providing tools for listing buckets, listing objects, and retrieving object contents.

An MCP server that allows you to generate and edit images using Amazon Bedrock's Nova Canvas model, supporting features like text-to-image generation, inpainting, outpainting, image variation, and background removal.