We’re excited to announce the launch of the Heroku MCP Server, designed to bridge the gap between agent-driven development and Heroku’s AI PaaS. Having defined the platform experience for apps in the cloud, Heroku extends our developer and operator experience to AI capabilities. With the Heroku MCP Server, you can now expose Heroku’s robust platform capabilities as a set of intuitive actions accessible to AI agents through Model Context Protocol (MCP).

The Heroku MCP server enables AI-powered applications like Claude Desktop, Cursor, and Windsurf to directly interface with Heroku, unlocking new levels of automation, efficiency, and intelligence for managing your custom applications.

The Heroku Extension for Visual Studio Code (VS Code) is now generally available for all customers—VS Code is an all-in-one tool that brings Heroku’s cloud management directly to your favorite IDE. In today’s fast-paced, AI-assisted development environment, switching between code editors and deployment tools can slow innovation and product delivery. This extension lets you focus on building great applications by streamlining cloud resource monitoring, one-click deployments, and add-on management, all within VS Code.

Today, we’re announcing the integration of the Heroku CLI with Amazon Q Developer. This integration, a result of our expanded Salesforce/AWS partnership, enables Amazon Q Developer command line suggestions of Heroku commands. This integration empowers Heroku users to auto-complete commands, thereby saving time and eliminating error-prone manual configurations of apps.

Developers configure and manage their applications through a command line interface (CLI), especially during development when working within their integrated development environment (IDE). Heroku apps can be deployed in many different ways, and all that flexibility can be controlled through the CLI. This results in thousands...