MCP servers: AWS

Lets an AI client list, query, and modify AWS DynamoDB tables and items with configurable tool and table access controls.

Lets an AI client upload, download, list, modify, and delete files in Google Cloud Storage buckets.

Lets an AI client list, read, upload, copy, and delete S3 buckets and objects with configurable tool access control.

Lets AI agents send emails via Amazon SES, manage domain verification, check suppression lists, and handle contact segments through Wraps.

Allows AI agents to send emails via Amazon SES and inspect email status using your own AWS account.

Enables AI clients to perform 711 Amazon Ads API operations across 53 services including Sponsored Products, DSP, and Amazon Marketing Cloud.

Lets an AI client draw and edit draw.io diagrams on a live canvas from chat prompts and exports them as .drawio, .png or .svg files.

Connect AI assistants to DuckDB, MotherDuck, or S3-hosted databases to execute SQL queries and perform data engineering tasks.

Converts Terraform code into professional cloud architecture diagrams for AWS, Azure, and GCP using AI-powered refinement.

Allows an AI client to perform keyword searches, retrieve product details, look up seller profiles, and browse seller catalogues on Amazon.

Gives AI clients specialized tools to work with AWS services, documentation, and cloud workflows.

Performs read-only AWS security scans to detect attack chains, IAM privilege escalation, and the potential blast radius of hijacked AI agents.

Lets an AI client fetch live Amazon product details, reviews, search results, deals, offers, stock and seller data across 23 marketplaces.

Allows AI agents to query and provision cloud and SaaS resources across dozens of providers using SQL semantics.

Lets an AI coding assistant query analyzed AWS, database, and IaC infrastructure context to answer questions about your real services.

Allows AI clients to manage Backblaze B2 buckets, files, application keys, and S3-compatible storage through a secure set of tools.

Wraps stdio-based Model Context Protocol servers into AWS Lambda functions for distributed cloud access via HTTPS.

A diverse collection of MCP servers that enable AI assistants to interact with AWS, Datadog, Google Workspace, databases, and multi-agent coordination systems.

Track Amazon prices and products with a scheduled watchlist, price history, offers, and alerts via an AI client.

Identifies AWS cost waste by running local, read-only scans across various services like EC2, S3, and Lambda.

Lets an AI client pull live trend history, growth rates, ranked boards, and social context for keywords across 27 platforms.

Gives AI clients live trend history, growth rates, ranked boards, and social context across 27 platforms like Google, TikTok, and Amazon.

Lets an AI client pull trend history, growth rates, live leaderboards and social context across search, social and marketplace platforms.

Gives AI clients live trend history, growth rates and top posts across Google, TikTok, Amazon, Reddit and 27 other platforms.

Fetches live trend data from Google, TikTok, YouTube, Reddit, Amazon and other platforms for AI clients.

Lets an AI client search products, compare prices, and find deals across Singapore and US retailers.

Lets an AI client search products, compare prices, and find deals across Singapore and US merchants.

Design cloud architectures, plan migrations, and generate compliant infrastructure code with cost analysis and automated compliance mapping.

Allows AI agents to query Amazon SES email data, inspect delivery timelines, diagnose bounces, and retrieve aggregate email statistics.

Lets an AI client interact with a high-performance DynamoDB emulator through 35 specialized tools.

Lets an AI client manage AWS, Hetzner, OVH and SSH servers: status, logs, CloudWatch, IP bans and safe command execution.

Lets an AI agent manage, deploy, and debug local cloud emulations for AWS, Azure, and Snowflake using natural language.

Lets an AI client search, chat with, and scrape a serverless RAG knowledge base containing documents, images, video, and audio on AWS.

Provisions and manages self-hosted OpenClaw instances on AWS, GCP, Azure, or local VMs using typed MCP tools and safe infrastructure operations.

Enables AI assistants to call any AWS API, perform generic CRUD operations on 1,300+ resource types, and manage SSO re-authentication locally.

Analyzes application code to generate baseline AWS IAM identity policies for AI coding assistants.

An MCP server that provides carbon, cost, and latency tradeoffs for cloud infrastructure decisions directly within your code editor.

Access and compare 35 text models, generate images, edit visuals, and create video using AWS Bedrock through a unified interface.

Generates paste-ready HTML affiliate product cards and grids from Amazon search results for bloggers and content creators.

Provides real-time, structured Amazon product, seller, and search data across 22 marketplaces for AI agents.

Lets an AI client call Amazon Advertising API operations across Sponsored Products, Brands, Display, DSP and Marketing Cloud to read and manage campaigns.

Provides multi-cloud pricing, FinOps analysis, and LLM token cost comparisons for AWS, Azure, GCP, and OCI.

Allows AI clients to fetch live Amazon product data, perform keyword searches, and execute asynchronous batch ASIN lookups across 20 marketplaces.

Compares compute, storage, and LLM pricing across AWS, Azure, GCP, and OCI to help optimize cloud costs and FinOps decisions.

Lets an AI client query Amazon Ads, Seller Central, Vendor Central and AMC data in plain English, with opt-in write access.

Lets an AI client read and write live Amazon Seller Central, Vendor Central, and Amazon Ads data through managed SP-API tools.

Gives AI clients ready-made scraping and search tools for Google, Amazon, TikTok, maps, jobs, travel and social platforms.

Provides durable, shared context for AI agents and humans using plain text files with Git-style merges to prevent data overwrites.

Enables AI agents to query and reason over real-world attack paths, reachable routes to sensitive assets, and simulated security fixes.

Lets an AI client read Sponsored Products, Brands, and Display configurations and request performance reports from Amazon Ads profiles.