"Amazon EC2" matching MCP servers:

Enables creating and editing Amazon listing images and product videos from live catalog data, with Amazon compliance rules, character-consistent generation, and resumable video generation.

Wraps the Amazon Q CLI to enable MCP hosts to interact with Amazon Q's AI capabilities for chat, command translation, and status checks.

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

An MCP server that translates natural-language queries into structured catalog searches using Amazon Bedrock, enabling MCP clients to query existing in-house APIs.

Enables MCP clients like Claude Code, Claude Desktop and Cursor to search a StarCraft II knowledge base, upload replays, and get AI Coach reports on games. Users can also ask follow-up questions about a coached replay, with mineral costs gated behind explicit confirmation.

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

Lets assistants send the same test prompts to as many as four text models across OpenRouter, Amazon Bedrock, Google Vertex AI and Microsoft Foundry, then automatically grade each answer with a judge model, rule checks and a policy gate. Returns scored leaderboards with letter grades, per-response strengths and weaknesses, latency, throughput and estimated cost, plus downloadable PDF and CSV reports.

Enables AI assistants to manage Amazon SageMaker AI resources including endpoints, jobs, pipelines, MLflow tracking servers, domains, models, model cards, and apps.

Enables small clinics to manage missed calls, recall reminders, and review requests through a voice-accessible AI agent, drafting outbound messages via Amazon Bedrock.

Enables clients to retrieve structured work briefings and item details, analyze blockers, and submit next-action proposals through streamable HTTP tools backed by Amazon Bedrock conversations. Supports human-confirmed approval or cancellation while preserving revisions, decision histories, and safe reuse or invalidation of pending proposals.

An MCP server for analyzing DWF files using Amazon Bedrock's Nova Pro model, enabling visual analysis, metadata extraction, and image extraction from DWF drawings.

Enables Alexa+ to collect recent security and IoT context, reason locally, prepare bounded physical actions for explicit approval, execute them through adapters, and return verified evidence in real time.

MCP server for generating and editing images using Amazon Nova Canvas, Stable Diffusion 3.5 Large, and Stability AI services through Amazon Bedrock.

Enables natural language control of AWS resources (EC2, Security Groups, S3, Bedrock, etc.) directly from Claude Desktop or Claude Code.

Enables founder ops assistants to retrieve LinkedIn-style news digests, GitHub repository hygiene, and daily operations briefs generated via Amazon Bedrock, through natural language over Streamable HTTP.

Provides a comprehensive suite of tools for interacting with AWS services like S3, EC2, and Lambda using natural language commands. It enables AI assistants to inspect, manage, and operate AWS resources directly through the Model Context Protocol using your local credentials.

Provides a production-oriented MCP server exposing tools, resources, and prompts over Streamable HTTP with JWT authentication and per-tool RBAC, enabling Amazon Bedrock Claude clients to securely invoke MCP capabilities.

Provides four MCP tools for neural retrieval: personalized user recommendations, item-to-item similarity, cold-start text search, and explainable recommendation scores, enabling LLM agents to query a trained two-tower recommender over Amazon Reviews data.

Provides tools to generate images using Amazon Nova Canvas and videos using Amazon Nova Reel models via Amazon Bedrock and S3.

Autonomous, carbon-aware building management system that pairs EnergyPlus digital twins with LLMs via the Model Context Protocol (MCP) for dynamic HVAC optimization and grid carbon reduction.