Categories › Cloud & DevOps › Cloud providers & infrastructure as code
Plan a migration from Google Cloud Platform (and OpenAI/Gemini AI workloads) to AWS. Analyzes your Infrastructure-as-Code files, app code, and GCP billing data to discover resources, design an AWS architecture, estimate costs, and generate migration artifacts — including AI-provider mapping to Amazon Bedrock. Processing is local; your data stays in your environment.
Remote server: your requests and data go to temporal.mcp.kapa.ai. Claude Code: claude mcp add --transport http amazon-web-services-temporal-docs https://temporal.mcp.kapa.ai · Claude app: Settings → Connectors → Add custom connector.
Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.