"Amazon RDS" matching MCP servers:

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 management and provisioning of AWS resources like EC2, S3, and RDS using natural language prompts through the Model Context Protocol. It allows users to automate complex infrastructure tasks, such as setting up VPCs and security groups, via a chat interface.

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

Enables control of ROS/ROS2 robots through natural language commands by translating LLM instructions into ROS topics and services. Supports cross-platform WebSocket-based communication with existing robot systems without requiring code modifications.

A Model Context Protocol server that integrates with Amazon Braket, allowing AI assistants to access, control, and interpret results from quantum computing resources.

A Model Context Protocol server that enables AI assistants to create images and videos using Amazon Nova Canvas and Nova Reel models.

A containerized MCP server deployed on Amazon EKS that provides a simple calculator tool for adding two numbers. Demonstrates how to deploy and scale MCP servers in a Kubernetes environment with proper session management and HTTP endpoints.

MCP server that lets AI agents launch and manage Meta + TikTok ad campaigns autonomously. 1 call 30 seconds to launch.

MCP server that enables natural-language-driven, headless HEC-RAS modeling, letting agents inspect, edit, run, compare, and plot 1D/2D hydraulic models without the GUI.

MCP server for Microsoft Advertising (Bing Ads) REST API enabling agent-led campaign management and reporting. It provides tools to manage campaigns, ad groups, keywords, ads, budgets, and pull performance reports.

Bridges a main agent (e.g., Codex) to a separate execution model in Claude Code Haha Desktop, enabling delegated coding tasks with file modifications, test runs, and change auditing.

Enables AI agents to control Windows desktop applications by wrapping Codex's Computer Use capability.

A standalone MCP server that brings complete data science capabilities to AI assistants, enabling them to load data, train models, and track experiments through natural language.

Enables AI assistants to manage Microsoft Advertising accounts, including campaigns, ad groups, keywords, audiences, and reporting, with safety-first write controls such as opt-in mutations, draft-and-confirm workflows, spend ceilings, and audit logging.

This MCP server gives LLM agents eyes - the ability to see and understand their physical environment through an Intel RealSense depth camera.

A searchable long-term memory server for AI agents using BM25 indexing over document chunks, enabling durable recall across sessions without cloud dependencies.

Enables LLMs to interact with ROS1 Noetic robotic systems by providing tools for topic management, service calls, and parameter configuration. It also supports node inspection, coordinate transform queries, and message introspection via the Model Context Protocol.

Enables AI agents to spawn, coordinate, and message worker cells via a single MCP server over a local Unix socket.

Enforces mandatory pre-implementation audits for AI coding agents, preventing code duplication by inspecting connected MCP tools and workspace components before any code is written, with a hard-stop approval gate for multi-agent platforms.

Persistent memory for AI agents — organized by time and space. Important memories get promoted, noise decays naturally, and related knowledge clusters into a browsable topic tree. Fully automatic.