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.

In a short amount of time, AI has transformed life, work, and how we think about the future. These rapid advancements have left many of us wondering how to integrate AI into our existing workflows and what it means for the future of app development. The apps we're building today are more than lines of code; they're becoming dynamic, intelligent, and increasingly autonomous. To navigate this new landscape, we need to bring our current skills and technology into this AI-driven future.

As part of the Salesforce portfolio, Heroku has always been a trusted platform for building apps in any language. Our mission remains focused on helping you deliver value faster, greater reliability,...

We're excited to introduce Heroku-Jupyter, an open-source, production-ready solution for running Jupyter Notebooks on Heroku with persistent storage, seamless deployment, and built-in security. Whether you're a data scientist, educator, or developer, you can now spin up a cloud-based Jupyter environment in minutes.

Why Jupyter on Heroku?

Jupyter Notebooks provide an interactive computing environment ideal for data analysis, visualization, and machine learning. However, cloud-based Jupyter deployments often face challenges like ephemeral storage and complex server configurations. Heroku-Jupyter solves these issues by providing a streamlined cloud-based experience.

Persistent...

Over the past year, Heroku has been on a journey of reflection as we rebase the platform to address the changing needs of app teams toward the future without disrupting your business. In the Heroku way, we want to be thoughtful about your experience as we evolve.

When we started Heroku, it was the early days of cloud computing, before Docker and Kubernetes were household names in IT. We launched Heroku (and the platform-as-a-service category) to help teams get to the cloud easily with an elegant user experience in front of a powerful platform that automated a lot of the manual work that slowed teams down. To do that then, we had to build a lot of the tooling ourselves, like orchestration...

Over the last couple of years, we’ve repeatedly heard the question “who will build the Heroku of AI?”. The answer to that question is that Heroku will, of course.

We are excited to bring AI to the Heroku platform with the pilot of Managed Inference and Agents, delivered with the graceful developer and operational experience and composability that are the heart of Heroku.

Heroku’s Managed Inference and Agents provide access to leading AI models from the world's top AI providers. These solutions optimize the developer and operator experience to easily extend applications on Heroku with AI. Heroku customers can benefit from this high performance and high trust AI service to focus on...