AWS MCP Servers
by AWS Labs
AWS Labs built 20+ MCP servers for every major Amazon service. DynamoDB, S3, Lambda, CloudWatch, EKS, ECS, CloudFormation, and more. 8,700 GitHub stars. This is the official Model Context Protocol integration for AWS, and it turns your AI coding assistant into a cloud infrastructure operator. The DynamoDB MCP Server is the flagship. Eight tools for data modeling, validation, cost analysis, and code generation. The dynamodb_data_modeling tool retrieves a complete DynamoDB design expert prompt with enterprise-level patterns, cost optimization, and multi-table design philosophy. The dynamodb_data_model_validation tool validates your model by spinning up DynamoDB Local, creating tables with test data, and executing all defined access patterns automatically. Source database analysis is built in. Connect to existing MySQL, PostgreSQL, SQL Server, or Oracle databases via the source_db_analyzer tool. It extracts schema structure and access patterns, then guides migration to DynamoDB through an automated LLM-driven workflow. The entire conversion, validation, and code generation happens in a single conversation. The collection is organized into seven categories: Infrastructure (IaC, CloudFormation, Terraform), Container Platforms (EKS, ECS, Finch), Serverless (Lambda), Documentation (AWS Knowledge, AWS Docs), AI/ML, Developer Tools, and Healthcare. Each server is independently installable via Python (FastMCP framework). Installation for Claude Desktop: { "mcpServers": { "awslabs.dynamodb-mcp-server": { "command": "uvx", "args": ["awslabs.dynamodb-mcp-server@latest"], "env": { "FASTMCP_LOG_LEVEL": "ERROR" } } } } Works with Claude Desktop, Amazon Q Developer, Cursor, VS Code, and Kiro. STDIO transport only (SSE was removed). Apache 2.0 licensed. If you manage AWS infrastructure and use AI coding tools, this is the bridge between conversation and cloud operations. Browse more MCP servers on Skila. For the AI coding tools these servers extend, see Skila's AI coding tools directory. Related: GitHub MCP Server for Git operations alongside AWS deployments.
Installation
Key Features
- ✓20+ MCP servers covering DynamoDB, S3, Lambda, EKS, ECS, CloudFormation, and more
- ✓DynamoDB MCP: 8 tools for data modeling, validation, cost analysis, and code generation
- ✓Source database analyzer: migrate from MySQL, PostgreSQL, SQL Server, Oracle to DynamoDB
- ✓Automated LLM-driven workflow: schema conversion + validation + code gen in one conversation
- ✓AWS Documentation and Knowledge servers for real-time access to official AWS docs
- ✓Works with Claude Desktop, Amazon Q Developer, Cursor, VS Code, and Kiro
- ✓Python-based via FastMCP framework, STDIO transport
- ✓Apache 2.0 license, 8,700+ GitHub stars
Use Cases
- →DynamoDB data modeling with AI-guided design patterns and cost optimization
- →Migrating relational databases to DynamoDB through automated schema analysis
- →Managing AWS infrastructure (EKS, ECS, Lambda) through AI conversation
- →Accessing real-time AWS documentation and best practices during development
- →CloudFormation and Terraform infrastructure-as-code generation via AI