About
AWS MCP Servers is a comprehensive suite of open-source MCP servers from AWS Labs that enables AI assistants to interact directly with Amazon Web Services. It provides real-time access to AWS documentation, infrastructure management capabilities, and specialized tooling across multiple cloud service domains. Key capabilities include: - Real-time access to official AWS documentation, best practices guidance, and architectural patterns - Infrastructure as Code support for CloudFormation, CDK, and Terraform workflows - Container platform management for Amazon ECS, EKS, and App Runner - Serverless development tools for Lambda functions and event-driven architectures - Database operations for Amazon RDS, DynamoDB, ElastiCache, and other data services - AI and machine learning workflow support for Amazon SageMaker and Bedrock - Cost optimization, monitoring, and operational insights across AWS accounts - Healthcare and life sciences workflow development support - Integration with messaging services, search analytics, and developer support tools
README
Open source MCP servers for AWS
A suite of specialized MCP servers that help you get the most out of AWS, wherever you use MCP.
[](https://github.com/awslabs/mcp) [](LICENSE) [](https://app.codecov.io/gh/awslabs/mcp) [](https://scorecard.dev/viewer/?uri=github.com/awslabs/mcp)
Table of Contents
~/.kiro/settings/mcp.json
- Getting Started with Cline and Amazon Bedrock
- cline_mcp_settings.json
- Getting Started with Cursor
- .cursor/mcp.json
- Getting Started with Windsurf
- ~/.codeium/windsurf/mcp_config.json
- Getting Started with VS Code
- .vscode/mcp.json
- Getting Started with Claude Code
- .mcp.json
- Samples
- Vibe coding
- Additional Resources
- Security
- Contributing
- Developer guide
- License
- DisclaimerWhat is the Model Context Protocol (MCP) and how does it work
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