AWS MCP Servers

Name: AWS MCP Servers
Author: AWS Labs

by AWS Labs

Official AWS MCP servers for documentation, infrastructure, containers, and serverless

cloud Python Intermediate Self-hostable Verified Featured

⭐ 8.3k stars 📅 Updated: 1mo ago

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Description

Official collection of open-source MCP servers from AWS Labs that bring AWS services and documentation into AI assistants. The monorepo contains ~15 specialized servers covering documentation access, infrastructure as code (CloudFormation, CDK, Terraform), container management (EKS, ECS, Finch), serverless development, Lambda tools, Cloud Control API, and AWS Support integration. Each server exposes focused tools for its domain, enabling AI assistants to generate AWS-specific code, query documentation, manage infrastructure, and follow best practices. All servers use stdio transport and integrate with Claude Desktop, Cursor, VS Code, Windsurf, and other MCP clients.

✅ Best for

Developers building on AWS who want AI assistants with deep AWS knowledge and tooling

⏭️ Skip if

You don't use AWS services or prefer cloud-agnostic tools

💡 Use cases

Querying AWS documentation and best practices from AI assistants
Generating and validating CloudFormation, CDK, or Terraform templates
Managing EKS clusters and ECS services via natural language
Building serverless applications with AI-assisted Lambda development

👍 Pros

✓ Official AWS project — authoritative source for AWS-specific AI tooling
✓ ~15 specialized servers covering the full AWS development lifecycle
✓ Massive community adoption (8k+ stars)
✓ Integrates with all major MCP clients via one-click install

👎 Cons

✗ Requires valid AWS credentials and appropriate IAM permissions
✗ Python-only — heavier runtime compared to Node.js-based servers
✗ Monorepo structure can be overwhelming for users needing only one server

🔧 Exposed tools (8 tools)

Tool	Category	Description
eks_manage	containers	Manage EKS clusters and Kubernetes resources
ecs_manage	containers	Manage ECS services, tasks, and deployments
aws_docs_search	documentation	Search AWS documentation and best practices
iac_generate	infrastructure	Generate infrastructure as code (CloudFormation, CDK, Terraform)
iac_validate	infrastructure	Validate and lint infrastructure templates
cloud_control	infrastructure	Manage AWS resources via Cloud Control API
lambda_tools	serverless	Create, test, and deploy Lambda functions
support_query	support	Query AWS Support cases and Trusted Advisor

⚡ Installation

Prerequisites:

• python v3.10+
• aws-credentials
• API key required

Check Claude Code documentation to configure this MCP server.

💡 Tips & tricks

Start with aws-documentation-mcp-server for read-only AWS docs access, then add infrastructure servers as needed. Each server can be installed independently.

🔄 Alternatives

Azure MCP

Community-driven Azure integration for AI agents via MCP

Similar functionality

aws-mcp-server

MCP server — editorial content pending