AWS MCP Servers are a collection of specialized servers designed to integrate the Model Context Protocol (MCP) with AWS services, providing large language models with real-time access to AWS documentation, best practices, and operational capabilities. This enhances AI applications by improving output quality, enabling workflow automation, and offering deep domain knowledge for cloud-native development.

Please check the official repository for license details.

mcp

Active·★ 9.8k·Updated 2026-10-27

★ Essential★ Trending

AWS MCP Servers is a suite of specialised Model Context Protocol servers published by AWS Labs to help assistants work with AWS wherever you use MCP. The README's case for them: relevant AWS information in the model's context improves output quality and reduces hallucination, the servers pull in current documentation for services newer than the model's training data, and they turn common workflows such as CDK and Terraform into tools the model can call.

The catalogue is organised by what you are building (official documentation, infrastructure as code, container platforms, serverless, AI and machine learning, SQL and NoSQL databases, search and analytics, caching, developer tools, integration and messaging, cost and operations, healthcare and life sciences) and by how you work (vibe coding, infrastructure as code, application development, testing and data). For general AWS interaction the README recommends starting with the AWS MCP Server, a remote managed server hosted by AWS. The individual servers are designed for stdio only; SSE support was removed on 26 May 2025 in the latest major versions, with Streamable HTTP planned. The repository is Apache-2.0 licensed.

#AWS#MCP#LLM Integration#Cloud Development#AI Assistants

Features

01Improved LLM Output Quality for AWS: Reduces hallucinations and provides accurate, up-to-date AWS technical details, code, and recommendations.

02Real-time Access to AWS Documentation: Bridges knowledge gaps by providing access to the latest AWS docs, APIs, and SDKs.

03Workflow Automation for AWS Tasks: Converts common AWS workflows (like IaC with CDK/Terraform) into AI-operable tools.

04Deep Specialized AWS Domain Knowledge: Infuses AI applications with contextual knowledge specific to AWS services.

05Integrated Infrastructure as Code (IaC) Toolkit: Supports CloudFormation, CDK best practices, security validation, and deployment troubleshooting.

Why choose it

+Official AWS servers covering documentation, IaC (CDK and Terraform), containers, serverless, data, AI and cost tools in one suite.

+Pulls in current AWS documentation, so answers are not limited to what the model learned in training.

+Catalogue can be browsed either by what you are building or by how you work, with one-click install buttons for Cursor and VS Code.

+A remote, managed AWS MCP Server is offered as the recommended starting point.

Trade-offs

!The individual servers support stdio only; SSE was removed in May 2025 and Streamable HTTP is still being worked on.

!It is a collection of many separate servers, so you choose, install and configure each one you need.

!The README tells users they are responsible for complying with the terms and laws that apply to their use of the servers.

Maintenance check

ActiveChecked: 2026-10-24

Last commit: 2026-10-23
Commits, last 90 days: 100+
Releases, last 90 days: 15
Latest release: 2026.10.20261015170211 (2026-10-16)
Open issues: 246
Recent issues with at least one comment: 0/8

Commits per week, last 12 weeks

Oldest week on the left; the latest four weeks are orange. Source: GitHub commit activity.

Status rule: archived on GitHub = Archived; last commit within 90 days = Active; 91 to 365 days = Slowing; older = Stale. All figures come from the GitHub API on the date shown.

Most discussed open issues

#637 AWS EKS MCP: AWS EKS MCP with Kagent on EKS ignores IRSA or Pod Identity; uses EKS node IAM role instead of service account IAM role15 comments · 2025-06-23
#773 aws-documentation-mcp-server: SSL CERTIFICATE_VERIFY_FAILED Unable to get local issuer certificate11 comments · 2025-07-09
#2048 redshift-mcp-server: Add UDF discovery in Redshift MCP10 comments · 2026-01-05
#4115 aws-api-mcp-server: migration to AWS MCP Server9 comments · 2026-07-10
#917 (redshift-mcp-server): AWS Secrets Manager Integration for Redshift Credentials9 comments · 2025-07-23

Issue titles are quoted from GitHub. Open the link to check whether a problem still applies to the version you use.

Who it fits

Pick it if

Your team builds on AWS and wants official AWS Labs MCP servers for up-to-date AWS docs, CDK/Terraform IaC, EKS/ECS containers, databases, and cost analysis.
You use Cursor, VS Code, or Claude and want grounded AWS architecture and billing answers.

Look elsewhere if

You want a single SQL engine to query and audit resources across AWS, GCP, Azure, and SaaS providers together; StackQL is designed for multi-cloud SQL.
You need native Streamable HTTP on individual local servers today (the local servers in this repo currently use stdio).

How it differs

vs stackql★ 1.1k

AWS MCP Servers are official AWS Labs MCP tools tailored to AWS documentation, CDK/Terraform, and AWS services. StackQL lets you query and provision across 50+ cloud and SaaS providers (AWS, GCP, Azure, GitHub, Okta) using SQL.

Full comparison →

Compatibility

Kiro

Supported

Verified via docs

Cursor

Supported

Verified via docs

VS Code

Supported

Verified via docs

Cline

Supported

Verified via docs

Windsurf

Supported

Verified via docs

Claude Code

Supported

Verified via docs

Quick start

$ uvx awslabs.aws-documentation-mcp-server@latest

Use cases

↳AI-powered IDEs and Coding Assistants: Enhancing development environments (Kiro, Cursor, VS Code) with AWS contextual guidance for coding, infrastructure setup, and debugging.

↳Conversational AI and Chatbot Applications: Providing up-to-date AWS documentation and service knowledge to chatbots (like Claude Desktop) for accurate responses and content generation.

↳Automated Cloud Resource Management: Enabling AI agents to manage, deploy, and monitor AWS infrastructure through natural language commands and IaC tools.

Alternatives

⚡Top VS:

VSstackql★1.1k→VSwhatsapp-mcp★6.7k→VSGitHub MCP Server★34.0k→VScursor-talk-to-figma-mcp★7.1k→

stackql★ 1.1k

Query, provision and operate Cloud and SaaS resources and APIs using an extensible SQL based framework

Features

Why choose it

Trade-offs

Maintenance check

Most discussed open issues

Who it fits

How it differs

Compatibility

Quick start

Use cases

Alternatives

Featured in these lists

Comments

Features

Why choose it

Trade-offs

Maintenance check

Most discussed open issues

Who it fits

How it differs

Compatibility

Quick start

Use cases

Alternatives

Featured in these lists

Comments