"Amazon EC2" matching MCP servers:

This read-only MCP Server allows you to connect to Amazon Athena 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/).

A Model Context Protocol (MCP) server that enables integration of Strands agents with Amazon Q and other MCP-compatible systems through a plugin architecture.

Enables AI assistants to request human input by creating tasks on Amazon Mechanical Turk, integrating human-in-the-loop capabilities via the MCP standard.

Exposes Amazon Nova Act web automation capabilities through the Model Context Protocol, enabling AI agents to perform browser tasks like navigation, data extraction, and form interaction.

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.

Exposes Amazon Nova Act browser-automation tools via the Model Context Protocol, enabling AI agents to control a web browser through natural language instructions.

A stateless MCP server sample for the 2026-07-28 protocol, deployable to Amazon Bedrock AgentCore Runtime and probed via SigV4-signed requests.

Enables asynchronous messaging and task handoff between Amazon Quick (local desktop) and Kiro (cloud DevSpaces) via an S3-backed message store.

Enables users to analyze data from BitFlux-enabled AWS EC2 instances and AWS pricing APIs to determine optimal instance types for their workloads. It provides recommendations by comparing instance usage statistics with current AWS pricing and resource offerings.

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.

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.

A custom server with tools that enable AI agents to provision and terminate AWS EC2 instances through natural language commands.

A basic MCP server for deployment to Amazon Bedrock AgentCore Runtime, enabling tool integration via FastMCP with streamable HTTP transport.

A proof-of-concept implementation that enables Amazon Bedrock AgentCore to interact with AWS Lambda functions and REST APIs through the Model Context Protocol. It provides a gateway for protocol translation and supports direct server implementation using the FastMCP framework.

Enables AI agents to choose the lowest-carbon cloud region for a workload, with tools for ranking regions by carbon intensity and latency, and for finding optimal start times to reduce emissions.

An MCP server that enables Alexa+ to autonomously orchestrate multi-step household tasks by decomposing goals into parallel tool calls — cross-session memory and dietary/allergy auditing, culinary planning with wine pairings, Amazon Fresh cart assembly with human-in-the-loop purchase approval, smart-home ambiance and climate control, and calendar scheduling. It pairs AWS Bedrock multi-agent reasoning with Streamable HTTP transport and interactive generative UI cards, carousels, and live IoT sliders.