Extending AWS Transform custom with MCP Servers for End-to-End Code Modernization

This article demonstrates how to extend AWS Transform custom with Model Context Protocol (MCP) server integrations to create an automated migration pipeline that connects project management, source control, and testing systems.

• Jira/Confluence MCP Server retrieves user stories, acceptance criteria, and org-specific migration standards to guide transformations
• AWS Transform custom executes code transformations (AngularJS to React 19) using MCP-sourced requirements as context
• Playwright MCP Server validates transformed applications interactively in a headless browser, catching regressions before human review
• GitHub MCP Server automatically creates pull requests with transformation results, commit messages, and Jira ticket links
• Docker-hosted Playwright browser maintains session stability and enables local application validation via host.docker.internal
• GitHub Actions CI pipeline independently verifies builds and tests on the created pull request
• Pipeline eliminates manual coordination by automating requirements gathering, code transformation, validation, and PR creation

This approach transforms AWS Transform custom into a fully automated migration pipeline that ensures organizational standards compliance and functional validation before any human code review.