"AWS Amplify" matching MCP servers:

A small AWS MCP for AI assistants: one server, one config entry, SSO re-auth baked in, generic CRUD over hundreds of resource types, live docs lookup, server-side scripting for batched workflows.

Enables AI assistants to read-only inspect AWS IoT Core fleets, including things, device shadows, topic rules, certificates, fleet health, connectivity, and indexing configuration, without any write path.

Enables MCP clients to query AWS Billing and Cost Management data via local AWS CLI, including cost usage, forecasts, anomalies, budgets, and commitment utilization for analysis.

Enables LLMs to search through AWS Lambda Powertools documentation across multiple runtimes (Python, TypeScript, Java, .NET) using a Model Context Protocol server.

MCP server for automated AWS security scanning — 19 modules, risk scoring, zero write operations.

Enables AI assistants to execute SQL queries against AWS Athena databases, check query status, retrieve results, and manage saved queries with support for both local and remote deployment via Lambda.

Run SQL queries with AWS Athena to access data available from AWS Glue catalog.

Read-only AWS account audit: finds public S3 buckets, missing root and user MFA, unused access keys, world-open security groups, CloudTrail gaps, and forgotten EC2/EBS/RDS spend across every region. Only makes Describe/List/Get calls and runs locally with your own AWS credentials.

A Model Context Protocol server that integrates with AWS CodePipeline, allowing users to manage pipelines through Windsurf and Cascade using natural language commands.

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.

A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with your AWS environment. This allows for natural language querying and management of your AWS resources during conversations. Think of better Amazon Q alternative.

A Model Context Protocol server allowing Claude AI to interact with AWS resources through natural language, enabling users to query and manage AWS services without using the traditional AWS Console or CLI.

Automates the AWS Foundational Technical Review (FTR) partner self-assessment by evaluating SOC 2 and WAFR reports against defined controls, returning structured PASS/FAIL decisions with reasoning.

An MCP server that runs on AWS Lambda, enabling MCP clients like Claude Desktop to invoke tools such as weather forecasts via serverless infrastructure with OAuth authentication.

MCP server that provides secure access to a serverless Markdown wiki on AWS, enabling AI assistants to read, search, and edit pages with space-level permission checks and Bedrock-powered semantic search.

Enables Claude to create, list, inspect, and delete custom rowing workouts in the EXR indoor rowing app, converting intervals.icu workout documents (power, cadence, ramps, repeats) into EXR's simpler timed or distance-based blocks with dates in the titles. Runs as an AWS Lambda-hosted claude.ai custom connector with per-user OAuth sign-in, so several people can share one deployment while each only sees their own EXR workouts.

Enables Claude and other AI agents to read sleep and recovery data from a Fitbit or Pixel Watch through the Google Health API, including HRV, resting and sleeping heart rate, SpO2, breathing rate, skin temperature, and detailed sleep stages compared against a personal baseline. It runs as a shared AWS Lambda custom connector with per-user Google sign-in and read-only tools for recovery status, daily metrics, sleep sessions, and night-level detail.

Runs on Cloudflare Workers to let MCP clients execute AWS API commands with your own credentials via SigV4-signed HTTPS requests. Supports common S3, EC2, IAM, Lambda, and STS operations plus a generic escape-hatch for any AWS API call.

Self-hosted memo knowledge base with MCP, REST, and read-only web interfaces; lets AI agents save and retrieve tagged, searchable study notes for AWS DevOps Pro exam prep.

A minimal, production-ready MCP server running on AWS Lambda with Streamable HTTP transport, enabling deployment of custom tools behind API Gateway.