AWS MCP servers for seamless integration with AWS services and resources.
Add to Claude Desktop config.json
{
"mcpServers": {
"awslabs-mcp": {
"command": "python",
"args": [
"-m",
"mcp"
]
}
}
} Get the source and run locally
git clone https://github.com/awslabs/mcp.git ~/.mcp/mcp
cd ~/.mcp/mcp A suite of specialized MCP servers that help you get the most out of AWS, wherever you use MCP.
[!TIP] The Agent Toolkit for AWS is now live! The Agent Toolkit for AWS is the successor to the MCP servers, plugins, and skills available on AWS Labs, and was informed by feedback from customers like you. If you’re building production software using coding agents or building agents for your own customers, we recommend Agent Toolkit for AWS. It includes IAM condition keys to distinguish agent actions from human ones, CloudWatch and CloudTrail visibility, and skills that have been evaluated for accuracy and effectiveness. This repo continues to work and accept contributions. Over time, the most useful projects here will move into Agent Toolkit for AWS.
The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.
An MCP Server is a lightweight program that exposes specific capabilities through the standardized Model Context Protocol. Host applications (such as chatbots, IDEs, and other AI tools) have MCP clients that maintain 1:1 connections with MCP servers. Common MCP clients include agentic AI coding assistants (like Kiro, Cline, Cursor, Windsurf) as well as chatbot applications like Claude Desktop, with more clients coming soon. MCP servers can access local data sources and remote services to provide additional context that improves the generated outputs from the models.
MCP Servers for AWS use this protocol to provide AI applications access to AWS documentation, contextual guidance, and best practices. Through the standardized MCP client-server architecture, AWS capabilities become an intelligent extension of your development environment or AI application.
MCP Servers for AWS enable enhanced cloud-native development, infrastructure management, and development workflows—making AI-assisted cloud computing more accessible and efficient.
The Model Context Protocol is an open source project run by Anthropic, PBC. and open to contributions from the entire community. For more information on MCP, you can find further documentation here
The MCP protocol currently defines two standard transport mechanisms for client-server communication:
The MCP servers in this repository are designed to support stdio only.
You are responsible for ensuring that your use of these servers comply with the terms governing them, and any laws, rules, regulations, policies, or standards that apply to you.
Important Notice: On May 26th, 2025, Server Sent Events (SSE) support was removed from all MCP servers in their latest major versions. This change aligns with the Model Context Protocol specification’s backwards compatibility guidelines.
We are actively working towards supporting Streamable HTTP, which will provide improved transport capabilities for future versions.
For applications still requiring SSE support, please use the previous major version of the respective MCP server until you can migrate to alternative transport methods.
MCP servers enhance the capabilities of foundation models (FMs) in several key ways:
Improved Output Quality: By providing relevant information directly in the model’s context, MCP servers significantly improve model responses for specialized domains like AWS services. This approach reduces hallucinations, provides more accurate technical details, enables more precise code generation, and ensures recommendations align with current AWS best practices and service capabilities.
Access to Latest Documentation: FMs may not have knowledge of recent releases, APIs, or SDKs. MCP servers bridge this gap by pulling in up-to-date documentation, ensuring your AI assistant always works with the latest AWS capabilities.
Workflow Automation: MCP servers convert common workflows into tools that foundation models can use directly. Whether it’s CDK, Terraform, or other AWS-specific workflows, these tools enable AI assistants to perform complex tasks with greater accuracy and efficiency.
Specialized Domain Knowledge: MCP servers provide deep, contextual knowledge about AWS services that might not be fully represented in foundation models’ training data, enabling more accurate and helpful responses for cloud development tasks.
Get started quickly with one-click installation buttons for popular MCP clients. Click the buttons below to install servers directly in Cursor or VS Code:
For AWS interactions, we recommend starting with:
| Server Name | Description | Install |
|---|---|---|
| AWS MCP Server (in preview) | Start here for secure, auditable AWS interactions! This remote, managed MCP server is hosted by AWS and combines comprehensive AWS API support with access to the latest AWS documentation, API references, What’s New posts, and Getting Started information. Features pre-built Agent SOPs that follow AWS best practices, helping agents complete complex multi-step AWS tasks reliably. Built with safety and control in mind: syntactically validated API calls, IAM-based permissions with zero credential exposure, and complete CloudTrail audit logging. Access all AWS services for managing infrastructure, exploring resources, and executing AWS operations with full transparency and traceability. Read more |
| Server Name | Description | Install |
|---|---|---|
| AWS Knowledge MCP Server | A remote, fully-managed MCP server hosted by AWS that provides access to the latest AWS docs, API references, What’s New Posts, Getting Started information, Builder Center, Blog posts, Architectural references, and Well-Architected guidance. | |
| AWS Documentation MCP Server | Get latest AWS docs and API references |
Build, deploy, and manage cloud infrastructure with Infrastructure as Code best practices.
| Server Name | Description | Install |
|---|---|---|
| AWS IaC MCP Server | Complete Infrastructure as Code toolkit with CloudFormation documentation access, CDK best practices guidance, construct examples, security validation, and deployment troubleshooting | |
| AWS Cloud Control API MCP Server ⚠️ DEPRECATED | Direct AWS resource management with security scanning and best practices (Use AWS IaC MCP Server instead) |
| Server Name | Description | Install |
|---|---|---|
| Amazon EKS MCP Server | Kubernetes cluster management and application deployment | |
| Amazon ECS MCP Server | Container orchestration and ECS application deployment | |
| Finch MCP Server | Local container building with ECR integration |
| Server Name | Description | Install |
|---|---|---|
| AWS Serverless MCP Server | Complete serverless application lifecycle with SAM CLI | |
| AWS Lambda Tool MCP Server | Execute Lambda functions as AI tools for private resource access |
| Server Name | Description | Install |
|---|---|---|
| AWS Transform MCP Server | Manage AWS Transform workspaces, jobs, connectors, HITL tasks, and artifacts for mainframe, VMware, .NET, and custom code transformations |
| Server Name | Description | Install |
|---|---|---|
| AWS Support MCP Server | Help users create and manage AWS Support cases |
Enhance AI applications with knowledge retrieval, content generation, and ML capabilities
| Server Name | Description | Install |
|---|---|---|
| Amazon Bedrock Knowledge Bases Retrieval MCP Server | Query enterprise knowledge bases with citation support | |
| Amazon Kendra Index MCP Server | Enterprise search and RAG enhancement | |
| Amazon Q Business MCP Server | AI assistant for your ingested content with anonymous access | |
| Amazon Q Index MCP Server | Data accessors to search through enterprise’s Q index | |
| AWS Bedrock Custom Model Import MCP Server | Manage custom models in Bedrock for on-demand inference | |
| AWS Bedrock AgentCore MCP Server | Provides comprehensive documentation access on AgentCore platform services, APIs, and best practices | |
| Amazon Translate MCP Server | Neural machine translation across 75+ languages with batch processing and custom terminology | |
| Amazon SageMaker AI MCP Server | SageMaker AI resource management and model development |
Work with databases, caching systems, and data processing workflows.
| Server Name | Description | Install |
|---|---|---|
| Amazon DynamoDB MCP Server | DynamoDB expert design guidance and data modeling assistance | |
| Amazon Aurora PostgreSQL MCP Server | PostgreSQL database operations via RDS Data API | |
| Amazon Aurora MySQL MCP Server | MySQL database operations via RDS Data API | |
| Amazon Aurora DSQL MCP Server | Distributed SQL with PostgreSQL compatibility | |
| Amazon DocumentDB MCP Server | MongoDB-compatible document database operations | |
| Amazon Neptune MCP Server | Graph database queries with openCypher and Gremlin | |
| Amazon Keyspaces MCP Server | Apache Cassandra-compatible operations | |
| Amazon Timestream for InfluxDB MCP Server | Time-series database operations and InfluxDB compatibility | |
| AWS S3 Tables MCP Server | Manage S3 Tables for optimized analytics | |
| Amazon Redshift MCP Server | Data warehouse operations and analytics queries | |
| Amazon RDS Oracle MCP Server | Oracle Database operations via Secrets Manager authentication | |
| AWS IoT SiteWise MCP Server | Industrial IoT asset management, data ingestion, and analytics | |
| Amazon RDS MSSQL MCP Server | SQL Server database operations via RDS Data API |
| Server Name | Description | Install |
|---|---|---|
| AWS AppSync MCP Server | Manage and Interact with application backends powered by AWS AppSync |
| Server Name | Description | Install |
|---|---|---|
| Amazon ElastiCache MCP Server | Complete ElastiCache control plane operations | |
| Amazon ElastiCache / MemoryDB for Valkey MCP Server | Advanced data structures and caching with Valkey | |
| Amazon ElastiCache for Memcached MCP Server | High-speed caching with Memcached protocol |
Accelerate development with code analysis, documentation, and testing utilities.
| Server Name | Description | Install |
|---|---|---|
| AWS IAM MCP Server | Comprehensive IAM user, role, group, and policy management with security best practices | |
| AWS Security Agent MCP Server | Automated security scanning, penetration testing, and remediation using AWS Security Agent | |
| OpenAPI MCP Server | Dynamic API integration through OpenAPI specifications |
Connect systems with messaging, workflows, and location services.
| Server Name | Description | Install |
|---|---|---|
| Amazon SNS / SQS MCP Server | Event-driven messaging and queue management | |
| Amazon MQ MCP Server | Message broker management for RabbitMQ and ActiveMQ | |
| AWS Step Functions Tool MCP Server | Execute complex workflows and business processes | |
| Amazon Location Service MCP Server | Place search, geocoding, and route optimization | |
| OpenAPI MCP Server | Dynamic API integration through OpenAPI specifications |
Monitor, optimize, and manage your AWS infrastructure and costs.
| Server Name | Description | Install |
|---|---|---|
| AWS Pricing MCP Server | AWS service pricing and cost estimates | |
| Amazon CloudWatch MCP Server | Metrics, Alarms, and Logs analysis and operational troubleshooting | |
| AWS Managed Prometheus MCP Server | Prometheus-compatible operations | |
| AWS Billing and Cost Management MCP Server | Billing and cost management for chargeable and Proforma billing |
Interact with AWS HealthAI services.
| Server Name | Description | Install |
|---|---|---|
| AWS HealthOmics MCP Server | Generate, run, debug and optimize lifescience workflows | |
| AWS HealthImaging MCP Server | Comprehensive medical imaging data lifecycle management with 21 tools for DICOM operations, datastore management, and automated discovery | |
| AWS HealthLake MCP Server | Create, manage, search, and optimize FHIR healthcare data workflows with comprehensive AWS HealthLake integration, featuring automated resource discovery, advanced search capabilities, patient record management, and seamless import/export operations. |
AI coding assistants like Kiro, Cline, Cursor, and Claude Code helping you build faster
Workshop: Check out the Vibe Coding with AWS MCP Servers workshop for hands-on guidance and examples.
| Server Name | Description | Install |
|---|---|---|
| AWS API MCP Server | Start here for general AWS interactions! Comprehensive AWS API support with command validation, security controls, and access to all AWS services. Perfect for managing infrastructure, exploring resources, and executing AWS operations through natural language. | |
| AWS Knowledge MCP Server | A remote, fully-managed MCP server hosted by AWS that provides access to the latest AWS docs, API references, What’s New Posts, Getting Started information, Builder Center, Blog posts, Architectural references, and Well-Architected guidance. | |
| AWS Documentation MCP Server | Get latest AWS docs and API references | [ |
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Kubernetes bulk port forwarding with service discovery, /etc/hosts management, traffic monitoring, and pod log streaming.
Integration with Cloudflare services including Workers, KV, R2, and D1
powerful Kubernetes MCP server with additional support for OpenShift. Besides providing CRUD operations for **any** Kubernetes resource, this server provides specialized tools to interact with your cluster.
Typescript implementation of Kubernetes cluster operations for pods, deployments, services.
The official Terraform MCP Server seamlessly integrates with the Terraform ecosystem, enabling provider discovery, module analysis, and direct Registry API integration for advanced Infrastructure as Code workflows.
One-stop backend services for WeChat Mini-Programs and full-stack apps. Provides specialized MCP tools for serverless cloud functions, databases, and one-click deployment to production with China market access through WeChat ecosystem.