Welcome to AWS MCP Servers

A suite of specialized MCP servers that help you get the most out of AWS, wherever you use MCP.

Available MCP Servers

Core MCP Server

The Core MCP Server manages and coordinates other MCP servers in your environment, providing automatic installation, configuration, and management.

Features:

Automatic MCP Server Management
Planning and guidance to orchestrate MCP Servers
UVX Installation Support
Centralized Configuration

Learn more about the Core MCP Server

AWS Documentation MCP Server

The AWS Documentation MCP Server provides access to AWS documentation and best practices.

Features:

Search Documentation using the official AWS search API
Get content recommendations for AWS documentation pages
Convert documentation to markdown format

Learn more about the AWS Documentation MCP Server

AWS CDK MCP Server

The CDK MCP Server provides AWS Cloud Development Kit (CDK) best practices, infrastructure as code patterns, and security compliance with CDK Nag.

Features:

CDK Best Practices
CDK Nag Integration
AWS Solutions Constructs
GenAI CDK Constructs

Learn more about the CDK MCP Server

Amazon Nova Canvas MCP Server

The Nova Canvas MCP Server enables AI assistants to generate images using Amazon Nova Canvas.

Features:

Text-based image generation
Color-guided image generation
Workspace integration

Learn more about the Amazon Nova Canvas MCP Server

Amazon Kendra Index MCP Server

The Amazon Kendra Index MCP Server enables AI assistants to retrieve additional context from a specified Amazon Kendra index.

Features:

Query a specified Kendra index

Learn more about the Amazon Kendra Index MCP Server

Amazon Q index MCP Server

The Amazon Q index MCP Server enables AI assistants to search through enterprise customers' Q index and access relevant content across their data sources using specific authentication and authorization flows.

Features:

Authentication Tools -- AuthorizeQIndex: Generates OIDC authorization URLs for Q index authentication -- CreateTokenWithIAM: Creates authentication tokens using authorization codes -- AssumeRoleWithIdentityContext: Assumes IAM roles using identity context from tokens
Search Tools -- SearchRelevantContent: Searches and retrieves content from Q Business applications

Learn more about the Amazon Q index MCP Server

Amazon Bedrock Knowledge Base Retrieval MCP Server

The Bedrock Knowledge Base Retrieval MCP Server enables AI assistants to retrieve information from Amazon Bedrock Knowledge Bases.

Features:

Discover knowledge bases and their data sources
Query knowledge bases with natural language
Filter results by data source
Rerank results

Learn more about the Bedrock Knowledge Base Retrieval MCP Server

Cost Analysis MCP Server

The Cost Analysis MCP Server enables AI assistants to analyze the cost of AWS services.

Features:

Analyze and predict AWS costs before deployment
Query cost data with natural language
Generate cost reports and insights

Learn more about the Cost Analysis MCP Server

AWS Lambda Tool MCP Server

The AWS Lambda Tool MCP Server enables AI assistants to select and run AWS Lambda functions as MCP tools.

Features:

Select and run AWS Lambda functions as MCP tools
Tool names and descriptions are taken from the AWS Lambda function configuration
Filter functions by name, tag, or both
Use AWS credentials to invoke the Lambda functions

Learn more about the AWS Lambda Tool MCP Server

AWS IAM MCP Server

The AWS IAM MCP Server provides comprehensive AWS Identity and Access Management (IAM) operations with security best practices and read-only mode support.

Features:

User Management: Create, list, retrieve, and delete IAM users
Role Management: Create, list, and manage IAM roles with trust policies
Policy Management: List and manage IAM policies (managed and inline)
Permission Management: Attach/detach policies to users and roles
Access Key Management: Create and delete access keys for users
Security Simulation: Test policy permissions before applying them
Read-Only Mode: Run server in read-only mode to prevent modifications

Learn more about the AWS IAM MCP Server

Amazon Aurora DSQL MCP Server

An AWS Labs Model Context Protocol (MCP) server for Aurora DSQL

Features:

Execute read only queries
Fetch table schema
Write or modify data using SQL, in a transaction

Learn more about the Amazon Aurora DSQL MCP Server

AWS Diagram MCP Server

This MCP server that seamlessly creates diagrams using the Python diagrams package DSL. This server allows you to generate AWS diagrams, sequence diagrams, flow diagrams, and class diagrams using Python code.

Features:

The Diagrams MCP Server provides the following capabilities:

Generate Diagrams: Create professional diagrams using Python code
Multiple Diagram Types: Support for AWS architecture, sequence diagrams, flow charts, class diagrams, and more
Customization: Customize diagram appearance, layout, and styling
Security: Code scanning to ensure secure diagram generation

Learn more about the AWS Diagram MCP Server

AWS Terraform MCP Server

The Terraform MCP Server enables AWS best practices, infrastructure as code patterns, and security compliance with Checkov.

Features:

The Terraform MCP Server provides the following capabilities:

Terraform Best Practices
Security-First Development Workflow
Checkov Integration
AWS and AWSCC Provider Documentation
AWS-IA GenAI Modules
Terraform Workflow Execution

Learn more about the AWS Terraform MCP Server

Frontend MCP Server

The Frontend MCP Server provides specialized tools for prototyping web applications with React and AWS Amplify.

Features:

Create a web application using React, Tailwind, and shadcn
Customize the application based on functional requirements, deconstructing high-level application goals into features, pages, and components
Automatic application naming, branding (customized theme) and thematic image generation (splash images, fav icon) using Nova Canvas MCP
Integrated authentication flows with AWS Amplify auth

Learn more about the Frontend MCP Server

Amazon ElastiCache/MemoryDB for Valkey MCP Server

The Amazon ElastiCache/MemoryDB Valkey MCP Server provides a natural language interface to interact with Valkey datastores, enabling AI assistants to work with various data structures and perform complex data operations.

Features:

Support for multiple data types (Strings, Lists, Sets, Sorted Sets, Hashes, Streams, etc.)
Advanced features like cluster support
JSON document storage and querying
Secure connections with SSL/TLS support
Connection pooling for efficient resource management

Learn more about the Amazon ElastiCache for Valkey MCP Server

Amazon ElastiCache for Memcached MCP Server

A server that provides natural language interface to interact with Amazon ElastiCache Memcached caches, enabling AI agents to efficiently manage and search cached data.

Features:

Natural language interface for cache operations
Comprehensive command support (Get, Set, Remove, Touch, CAS, Increment, Decrement)
Secure connections with SSL/TLS
Connection pooling and efficient resource management

Learn more about the Amazon ElastiCache for Memcached MCP Server

Code Documentation Generation MCP Server

The Code Documentation Generation MCP Server automatically generates comprehensive documentation for code repositories.

Features:

Automated documentation generation based on repository analysis
AWS architecture diagram integration
Multiple document types (README, API, Backend, Frontend)
Interactive documentation creation workflow

Learn more about the Code Documentation Generation MCP Server

AWS Location Service MCP Server

A server for accessing AWS Location Service capabilities, focusing on place search, geographical coordinates, and route planning.

Features:

Search for places using geocoding
Get details for specific places by PlaceId
Reverse geocode coordinates to addresses
Search for places near a location
Search for places that are currently open
Calculate routes between locations with turn-by-turn directions
Optimize waypoints for efficient routing

Learn more about the AWS Location Service MCP Server

AWS OpenAPI MCP Server

The OpenAPI MCP Server dynamically creates Model Context Protocol (MCP) tools and resources from OpenAPI specifications, allowing LLMs to interact with APIs through the Model Context Protocol.

Features:

Dynamic Tool Generation: Automatically creates MCP tools from OpenAPI endpoints
Intelligent Route Mapping: Maps GET operations with query parameters to TOOLS
Dynamic Prompt Generation: Creates helpful prompts based on API structure
Transport Options: Supports stdio transport
Flexible Configuration via environment variables or command line arguments
Authentication Support: Works with multiple authentication methods (Basic, Bearer Token, API Key, Cognito)
AWS Best Practices: Implements AWS best practices for caching, resilience, and observability

Learn more about the AWS OpenAPI MCP Server

AWS CloudFormation MCP Server

A server for managing your AWS resources directly and through cloudformation.

Features:

Create/Update/Delete your resources with the resource access tools
List/Read your resources with the resource access tools

Learn more about the AWS CloudFormation MCP Server

Git Repo Research MCP Server

A server for researching Git repositories using semantic search.

Features:

Repository Indexing with FAISS and Amazon Bedrock embeddings
Semantic Search within repositories
Repository Structure Analysis
GitHub Repository Search in AWS organizations
File Access with text and binary support

Learn more about the Git Repo Research MCP Server

Amazon Aurora Postgres MCP Server

A server for Aurora Postgres.

Features:

Converting human-readable questions and commands into structured Postgres-compatible SQL queries and executing them against the configured Aurora Postgres database
Fetch table columns and comments from Postgres using RDS Data API

Learn more about the Amazon Aurora Postgres MCP Server

Amazon Aurora MySql MCP Server

A server for Aurora MySql.

Features:

Converting human-readable questions and commands into structured MySQL-compatible SQL queries and executing them against the configured Aurora MySQL database.
Fetch table schema

Learn more about the Amazon Aurora MySql MCP Server

Amazon CloudWatch Logs MCP Server

An AWS Labs Model Context Protocol (MCP) server for Amazon Cloudwatch Logs.

Features:

Discover log groups and their metadata
Execute CloudWatch Log Insights queries against log groups

Use this MCP server to first discover available logs groups, then run queries on them to filter, analyze, aggregate, etc. logs.

Learn more about the Amazon CloudWatch Logs MCP Server

AWS Managed Prometheus MCP Server

The Prometheus MCP Server provides a robust interface for interacting with AWS Managed Prometheus.

Features:

Execute instant PromQL queries against AWS Managed Prometheus
Execute range queries with start time, end time, and step interval
List all available metrics in your Prometheus instance
Get server configuration information
AWS SigV4 authentication for secure access

Learn more about the AWS Managed Prometheus MCP Server

Amazon DynamoDB MCP Server

A server for interacting with Amazon DynamoDB

Features:

Control Plane operations like table creation, table update, global secondary index, streams, global table management, backup, restore, etc.
Data Plane operations like put, get, update, query and scan.

Learn more about the Amazon DynamoDB MCP Server

Amazon ElastiCache MCP Server

A server for managing and interacting with Amazon ElastiCache resources.

Features:

Replication Group Operations (create, delete, modify, describe)
Cache Cluster Operations (create, delete, modify, describe)
Serverless Cache Operations (create, delete, modify, describe)
Jump Host Configuration for secure access
Service Updates and Engine Management
Comprehensive monitoring and event tracking

Learn more about the Amazon ElastiCache MCP Server

Amazon DocumentDB MCP Server

The DocumentDB MCP Server enables AI assistants to interact with Amazon DocumentDB databases, providing secure query capabilities and database operations.

Features:

Connection management for DocumentDB clusters
Query documents with filtering and projection
Execute MongoDB aggregation pipelines
Optional read-only mode for enhanced security
Automatic connection cleanup and resource management

Learn more about the Amazon DocumentDB MCP Server

Amazon EKS MCP Server

A Model Context Protocol (MCP) server for Amazon EKS that enables generative AI models to create and manage Kubernetes clusters on AWS through MCP tools.

Features:

EKS Cluster Management: Create and manage EKS clusters with dedicated VPCs, proper networking, and CloudFormation templates for reliable, repeatable deployments
Kubernetes Resource Management: Create, read, update, delete, and list Kubernetes resources with support for applying YAML manifests
Application Deployment: Generate and deploy Kubernetes manifests with customizable parameters for containerized applications
Operational Support: Access pod logs, Kubernetes events, and monitor cluster resources
CloudWatch Integration: Retrieve logs and metrics from CloudWatch for comprehensive monitoring
Security-First Design: Configurable read-only mode, sensitive data access controls, and IAM integration for proper permissions management

Learn more about the Amazon EKS MCP Server

Synthetic Data MCP Server

A server for generating, validating, and managing synthetic data.

Business-Driven Generation: Generate synthetic data instructions based on business descriptions
Safe Pandas Code Execution: Run pandas code in a restricted environment with automatic DataFrame detection
JSON Lines Validation: Validate and convert JSON Lines data to CSV format
Data Validation: Validate data structure, referential integrity, and save as CSV files
Referential Integrity Checking: Validate relationships between tables
Data Quality Assessment: Identify potential issues in data models (3NF validation)
Storage Integration: Load data to various storage targets (S3) with support for multiple formats and configurations

Learn more about the Synthetic Data MCP Server

Amazon Neptune MCP Server

A server for interacting with Amazon Neptune graph database.

Run openCypher/Gremlin queries on a Neptune Database
Run openCypher queries on Neptune Analytics
Get the schema of the graph

Learn more about the Amazon Neptune MCP Server

AWS Bedrock Data Automation MCP Server

A Model Context Protocol (MCP) server for Amazon Bedrock Data Automation that enables AI assistants to analyze documents, images, videos, and audio files using Amazon Bedrock Data Automation projects.

Features:

Project Management: List and get details about Bedrock Data Automation projects
Asset Analysis: Extract insights from unstructured content using Bedrock Data Automation
Support for Multiple Content Types: Process documents, images, videos, and audio files
Integration with Amazon S3: Seamlessly upload and download assets and results

Learn more about the AWS Bedrock Data Automation MCP Server

Amazon Keyspaces (for Apache Cassandra) MCP Server

An Amazon Keyspaces (for Apache Cassandra) MCP server enables AI assistants to interact with Amazon Keyspaces and Apache Cassandra.

Features: - Explore keyspaces and tables. - Execute CQL SELECT queries against the configured database. - Get feedback and suggestions for improving query performance. - Use with Amazon Keyspaces, or with Apache Cassandra.

Learn more about the Amazon Keysapces MCP Server

Amazon Timestream for InfluxDB MCP Server

A Model Context Protocol (MCP) server for Amazon Timestream for InfluxDB that enables AI assistants to help create, list, store, and query time-series data using InfluxDB.

** Features ** - Create, update, list, describe, and delete Timestream for InfluxDB database instances - Create, update, list, describe, and delete Timestream for InfluxDB database clusters - Manage DB parameter groups - Tag management for Timestream for InfluxDB resources - Write and query data using InfluxDB's APIs

Learn more about the Amazon Timestream for InfluxDB MCP Server

Amazon Rekognition MCP Server

A Model Context Protocol (MCP) server for Amazon Rekognition that enables AI assistants to analyze images using Amazon Rekognition's powerful computer vision capabilities.

Features:

Face Collection Management: Create and manage collections of faces
Face Recognition: Index and search for faces in images
Object and Scene Detection: Identify objects, scenes, and activities in images
Content Moderation: Detect unsafe or inappropriate content
Celebrity Recognition: Identify celebrities in images
Face Comparison: Compare faces between images for similarity
Text Detection: Extract text from images

Learn more about the Amazon Rekognition MCP Server

AWS Cost Explorer MCP Server

A server for interacting with AWS Cost Explorer to analyze AWS costs and usage data.

Features:

Get detailed breakdowns of AWS costs by service, region, and other dimensions
Understand how costs are distributed across various services
Query historical cost data for specific time periods
Filter costs by various dimensions, tags, and cost categories
Ask natural language questions about AWS costs

Learn more about the AWS Cost Explorer MCP Server

Installation and Setup

Please refer to the README files in each server's directory for specific installation instructions.

Samples

Please refer to the samples directory for examples of how to use the MCP Servers.

Contributing

Contributions are welcome! Please see the contributing guidelines for more information.

Disclaimer

Before using an MCP Server, you should consider conducting your own independent assessment to ensure that your use would comply with your own specific security and quality control practices and standards, as well as the laws, rules, and regulations that govern you and your content.