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AWS MCP Server

by awslabs

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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

  • Open source MCP servers for AWS
  • - Table of Contents - What is the Model Context Protocol (MCP) and how does it work with MCP Servers for AWS? - Open source MCP servers for AWS Transport Mechanisms - Supported transport mechanisms - Server Sent Events Support Removal - Why MCP Servers for AWS? - Available MCP Servers: Quick Installation - 🚀Getting Started with AWS - Browse by What You're Building - 📚 Real-time access to official AWS documentation - 🏗️ Infrastructure \& Deployment - Infrastructure as Code - Container Platforms - Serverless \& Functions - Support - 🤖 AI \& Machine Learning - 📊 Data \& Analytics - SQL \& NoSQL Databases - Search \& Analytics - Caching \& Performance - 🛠️ Developer Tools \& Support - 📡 Integration \& Messaging - 💰 Cost \& Operations - 🧬 Healthcare \& Lifesciences - Browse by How You're Working - 👨‍💻 Vibe Coding \& Development - Core Development Workflow - Infrastructure as Code - Application Development - Container \& Serverless Development - Testing \& Data - Lifesciences Workflow Development - 💬 Conversational Assistants - Knowledge \& Search - Content Processing \& Generation - Business Services - 🤖 Autonomous Background Agents - Data Operations \& ETL - Caching \& Performance - Workflow \& Integration - Operations \& Monitoring - MCP AWS Lambda Handler Module - When to use Local vs Remote MCP Servers? - Local MCP Servers - Remote MCP Servers - Use Cases for the Servers - Installation and Setup - Running MCP servers in containers - Getting Started with Kiro - ~/.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 - Disclaimer

    What is the Model Context Protocol (MCP) and how does it work

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