Lambda@Edge MCP
Deploy AWS Lambda@Edge functions with AI via MCP. Customize CloudFront behavior, handle viewer requests, and optimize content delivery.
What is Lambda@Edge MCP?
Lambda@Edge MCP brings AI assistance to AWS Lambda@Edge development. Lambda@Edge lets you run Node.js and Python functions at CloudFront edge locations to customize content delivery behavior.
CloudFront Integration
Generate functions for all four CloudFront event types: viewer request, viewer response, origin request, and origin response. AI models understand the event structure and CloudFront limitations.
Configuration
{
"mcpServers": {
"lambda-edge": {
"command": "npx",
"args": ["lambda-edge-mcp"],
"env": {
"AWS_ACCESS_KEY_ID": "your_key",
"AWS_SECRET_ACCESS_KEY": "your_secret",
"AWS_REGION": "us-east-1"
}
}
}
}
Use Cases
Lambda@Edge MCP is essential for AWS teams customizing CDN behavior, implementing A/B testing at the edge, adding security headers, and optimizing content delivery for global audiences.
Key Features
- Generate Lambda@Edge function code
- Configure CloudFront trigger associations
- Manage viewer request/response modifications
- Optimize origin request/response handling
- Monitor execution logs and metrics
- Deploy across CloudFront edge locations
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