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aws-transform Claude Code Plugin

Author
Amazon Web Services
Category
Migration
Topics
Migration & Modernization · Cloud, Deployment & CI/CD · Databases & Storage
First cataloged
2026-07-09 (UTC)
Explanation last updated
2026-09-22 (UTC)
Source (GitHub) last updated
2026-09-04 (UTC) (41 days ago)

The explanation below is AI-generated. Please verify it against the sources.

This plugin adds a skill and an MCP server connection that let AI coding agents drive AWS Transform, AWS's service for migrating and modernizing codebases and infrastructure. Per the README, it covers converting .NET Framework applications to .NET 8/10, translating mainframe COBOL to Java, moving VMware virtual machines to EC2, migrating SQL Server, Oracle, or MySQL databases to Aurora, and upgrading Java, Python, or Node.js versions along with associated AWS SDKs. It also supports ongoing scanning of codebases for technical debt, security issues, and upgrade opportunities, followed by automated remediation. Access requires AWS SigV4 credentials or an IAM Identity Center session, and custom transformations additionally require the separate AWS Transform CLI. The plugin depends on the uv tool to run its bundled MCP server.

About the service

AWS Transform is AWS's own cloud modernization service. According to its product page, it functions as an enterprise workbench built on specialized AI agents that handle infrastructure migration, application modernization for Windows, mainframe, and custom code, and continuous remediation of technical debt across many repositories. Alongside a web console, it can be reached from agentic IDEs such as Kiro, Claude, Cursor, and Codex through an MCP server, so a transformation job can be started from a coding environment and its progress checked elsewhere.

What you can do with aws-transform

  • Ask the agent to migrate a .NET Framework application to .NET 8 or 10
  • Request conversion of mainframe COBOL code into Java
  • Move VMware virtual machines to Amazon EC2
  • Convert a SQL Server, Oracle, or MySQL database to Aurora
  • Upgrade Java, Python, or Node.js code and related AWS SDK versions
  • Run assessment and planning stages before a transformation executes, with room for human review
  • Define custom transformations beyond the built-in scenarios using the AWS Transform CLI

Sources

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