The AWS MCP Servers are a set of dedicated servers based on the Model Context Protocol, offering various AWS-related functions, including document retrieval, knowledge base query, CDK best practices, cost analysis, image generation, etc., aiming to enhance the integration of AI applications with AWS services through a standardized protocol.

AWS MCP is a service based on the Model Context Protocol that allows querying and managing AWS resources through natural language, similar to an alternative to Amazon Q.

AWS MCP is an AI assistant service that queries and manages AWS resources through natural language, supporting multi - account, multi - region, and secure credential management.

The AWS MCP Server is a lightweight service that enables AI assistants to execute AWS CLI commands through the Model Context Protocol (MCP), providing functions for querying AWS CLI documentation and executing commands.

The AWS MCP Server is a server implementation based on the Model Context Protocol that supports operations on AWS's S3 and DynamoDB services. All operations are automatically recorded and can be audited.

A collection of MCP server examples provided by AWS GCR, covering various functions such as remote desktop, workflow services, AI planning, time services, and HTML rendering

MCP2Lambda is an MCP protocol server that runs AWS Lambda functions as tools for large language models (LLMs). AI models can call Lambda functions to access private resources and AWS services without code modification.

This project runs Model Context Protocol (MCP) stdio servers through AWS Lambda functions, enabling the invocation of MCP servers in distributed systems.

MCP2Lambda is an MCP server that allows AWS Lambda functions to be used as tools for large language models (LLMs) without modifying the code. It builds a bridge between AI models and Lambda functions through the Model Context Protocol (MCP), enabling models to access private resources and perform custom operations.

A tool for querying AWS cost data and Bedrock usage logs via the MCP protocol

This project is a collection of MCP servers designed for Kali Linux, aiming to enhance reverse engineering, security testing, and automation workflows. It integrates tools such as Nmap and Wireshark and provides Docker sandbox support.

A tool for querying AWS cloud spending through the MCP protocol, integrating the Claude model to provide a natural language interaction interface.

This is an AWS S3 bucket tool designed for MCP clients. It supports listing buckets, retrieving objects, filtering CSV files, and reading content, optimizing automated access and scalability.

A service that executes AWS CLI commands through the MCP protocol, supporting the generation and running of AWS commands, querying service details, and listing available services.

The AWS EC2 Pricing MCP Server provides real-time EC2 price query services and supports direct use through Docker or Python.

This project implements a server based on the Model Context Protocol (MCP) for deploying web applications to AWS serverless infrastructure, supporting automatic deployment of front - end, back - end, and full - stack applications.

A service implementation for retrieving data such as PDF from AWS S3 via the MCP protocol

Iceberg MCP is a server that provides MCP protocol support for Apache Iceberg catalogs, supports asynchronous operations and logging, and is compatible with REST and AWS Glue catalogs.

This project is a server based on the Model Context Protocol (MCP), specifically designed to interact with the Amazon Redshift database. It securely connects through the AWS Data API, provides functions such as database structure query, data retrieval, and performance analysis, and supports integration with AI tools such as Claude and Cursor.

A reference project implementing the Model Context Protocol (MCP), providing a standard for tool calls between LLMs and applications, including local and remote call implementations, and integrating AWS Bedrock and Claude 3.7.

A comprehensive AWS cost analysis and optimization recommendation MCP server that integrates AWS core services such as Cost Explorer and Compute Optimizer, providing resource optimization solutions and cost - saving suggestions.

AWS MCP is an AI tool for managing AWS resources through natural language, replacing Amazon Q and providing higher flexibility and security.

An MCP service that enables LLMs to interact with AWS S3

A serverless implementation of the Model Context Protocol (MCP) based on AWS Lambda and SAM, providing two interfaces for system configuration and client usage.

This is an AWS Amplify Data MCP Server project that allows interaction with the data models of Amplify Gen2 applications through natural language, supports operations such as querying and modifying, and needs to be used with AI assistants like Claude.

This project demonstrates how to use the OAuth 2.1 authorization process and AWS Cognito to protect MCP servers, including the implementation of core functions such as resource servers, authorization servers, and dynamic client registration.

The AWS Service Reference MCP Server provides a tool for querying AWS services, API operations, condition keys, and resource types.

An MCP server based on the AWS SDK for retrieving and listing running EC2 instances in a specified region.

An MCP server providing an access tool for AWS CloudWatch logs

This project provides a deployable AWS general MCP server and CDK infrastructure code, supporting interaction with AWS services through a standardized MCP interface, including implementations of location services, S3, and Aurora PostgreSQL.

A service based on the Model Context Protocol (MCP) that provides AI assistants with the ability to access and analyze AWS CloudWatch logs, supporting log search, summary generation, and cross-service correlation.

A minimalist Model Context Protocol (MCP) server based on AWS Lambda and API Gateway, deployed using the Serverless Framework, supporting local development and testing.

A Gmail MCP server running in a secure isolated environment of AWS Nitro, providing remote mail access services.

An MCP server based on the Nova Canvas model on Amazon Bedrock, supporting multiple image generation and editing functions.

The MCP server for Amazon VPC Lattice provides tools and documentation support for accessing and managing AWS VPC Lattice resources, including functions such as resource listing, prompt templates, and CLI operations.

AWS S3 operation MCP service, providing secure S3 bucket access via pre-signed URLs

AWS Security MCP is a server based on the MCP protocol that allows AI assistants to independently check and analyze security issues in your AWS infrastructure through natural language queries, supporting interaction and query of multiple AWS security services.

AWS Security MCP is a service based on the model context protocol that allows AI assistants to independently check and analyze security issues in AWS infrastructure through natural language queries. It supports multiple AWS security services, including IAM, EC2, S3, etc., and provides security recommendations and threat modeling reports.

The AWS Service Authorization Reference Information MCP Server provides query functions for IAM operations, resources, and condition keys, helping LLMs obtain AWS service authorization data.