@frontpoint/aws-infra-mcp
v0.1.0
Published
MCP server for generating AWS CDK infrastructure code with resource analysis
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AWS Infra MCP
MCP (Model Context Protocol) server for generating AWS CDK TypeScript infrastructure code with resource analysis.
Features
- AWS Resource Analysis: Scan existing AWS resources (EC2, RDS, Lambda, S3, DynamoDB, ECS, EKS, ECR, VPC, API Gateway)
- CDK Code Generation: Generate type-safe AWS CDK TypeScript projects
- Full Service Coverage: Support for compute, database, storage, and network resources
- Interactive Configuration: Add resources incrementally with MCP tools
- Cost Estimation: Preview estimated monthly costs (coming soon)
- Security Validation: IAM and security group validation (coming soon)
Installation
npm install -g @frontpoint/aws-infra-mcpUsage
As MCP Server
Add to your Claude Code MCP configuration:
{
"mcpServers": {
"aws-infra": {
"command": "aws-infra-mcp",
"args": ["/path/to/your/project"]
}
}
}CLI
# Start MCP server in current directory
aws-infra-mcp
# Start with specific project path
aws-infra-mcp /path/to/projectAvailable Tools
| Tool | Description |
|------|-------------|
| aws-init | Initialize project with AWS credentials verification |
| aws-analyze | Scan existing AWS resources in your account |
| aws-status | Show current configuration status |
| aws-add-compute | Add EC2, Lambda, ECS, EKS resources |
| aws-add-database | Add RDS, Aurora, DynamoDB resources |
| aws-add-storage | Add S3, ECR resources |
| aws-add-network | Add VPC, API Gateway resources |
| aws-generate-all | Generate complete CDK project |
Supported AWS Services
Compute
- EC2 Instances & Auto Scaling Groups
- Lambda Functions with event sources
- ECS Clusters, Services, Task Definitions
- EKS Clusters with Node Groups
Database
- RDS (MySQL, PostgreSQL, MariaDB)
- Aurora (MySQL, PostgreSQL, Serverless v2)
- DynamoDB Tables with GSI/LSI
Storage
- S3 Buckets with lifecycle policies
- ECR Repositories
Network
- VPC with public/private subnets
- NAT Gateways
- API Gateway (REST, HTTP, WebSocket)
Example Workflow
# 1. Initialize project
aws-init projectName: my-app region: ap-northeast-2
# 2. Analyze existing resources (optional)
aws-analyze
# 3. Add infrastructure resources
aws-add-network type: vpc name: main-vpc cidrBlock: 10.0.0.0/16
aws-add-database type: dynamodb name: users-table partitionKey: userId:S
aws-add-storage type: s3 name: my-app-assets versioning: true
aws-add-compute type: lambda name: api-handler runtime: nodejs20.x
# 4. Generate CDK project
aws-generate-all
# 5. Deploy
cd cdk-infra && npm install && npx cdk deploy --allGenerated CDK Structure
cdk-infra/
├── bin/
│ └── app.ts # CDK app entry point
├── lib/
│ └── stacks/
│ ├── network-stack.ts
│ ├── compute-stack.ts
│ ├── database-stack.ts
│ └── storage-stack.ts
├── cdk.json
├── package.json
└── tsconfig.jsonRequirements
- Node.js >= 18.0.0
- AWS CLI configured with credentials
- AWS CDK CLI (
npm install -g aws-cdk)
Configuration
Configuration is stored in .aws-infra-mcp/ directory:
config.json- Infrastructure configurationstate.json- Generation state and historyanalysis-cache.json- Cached AWS resource analysis
License
MIT
Author
frontpoint
