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Heroku AI: Managed Inference and Agents is now Generally Available

Many of the most exciting experiences we’re beginning to rely on every day are powered by AI; whether it’s conversational assistants, personalized recommendations or code generation, these experiences are powered by inference systems and intelligent agents. Behind the scenes, developers offload complex decisions, automate tasks, and compose intelligent applications using large language models and tool execution flows. Together, these AI-powered primitives are becoming a key complement to traditional application development, enabling a new wave of developer capabilities. At Salesforce, we are helping our customers bring their agentic strategy to life with Heroku, Agentforce, and Data Cloud. These powerful products allow…

Heroku AI: Build and Deploy Enterprise Grade MCP Servers

Agents hold immense power, but their true potential shines when they connect to the real world, fetching data, triggering actions, or leveraging external tools. The Model Context Protocol (MCP) offers a standardized way for AI agents to do this. MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools. – official MCP website Heroku Managed Inference…

How I Improved My Productivity with Cursor and the Heroku MCP Server

Generative AI has been one incredible tool to improve my productivity not only for work but for personal projects too. I use it every day, from generating stories and images for my online role playing games to solving code and engineering problems and building awesome demos. Lately I’ve leaned into Cursor as my go‑to AI coding companion. Its inline suggestions and quick edits keep me moving without context‑switching. Connecting Cursor to my apps through the Heroku MCP Server lets me perform actions like deploying or scaling, without leaving my code editor, making AI a first class citizen in the Heroku…

Introducing Heroku-Streamlit: Seamless Data Visualization

We’re excited to announce the release of Heroku-Streamlit, a template that makes deploying interactive data visualization applications on Heroku simpler than ever before. Streamlit is an open-source app framework built for machine learning and data science projects. This Streamlit App brings together Heroku’s scalable cloud platform and Streamlit’s intuitive Python-based data application framework. Whether you’re a data scientist, educator, or developer, you can now spin up a cloud-based Streamlit environment in minutes. What is Heroku-Streamlit? Heroku-Streamlit is a ready-to-deploy template that allows data scientists, analysts, and developers to quickly share their data insights through interactive web applications. With minimal configuration,…

Introducing the Official Heroku MCP Server

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…

Heroku: Powering the Next Wave of Apps with AI

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.…

Jupyter Notebooks on Heroku with Persistent Storage

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 Storage for reliable, up-to-date models Reliable Data Management: Your notebooks are safely stored in…

The Next Generation of the Heroku Platform

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…

Heroku AI | Managed Inference and Agents

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…

Building Supercharged Agents with Heroku and Agentforce

Heroku is a powerful general-purpose PaaS offering, but when combined with the broader Salesforce portfolio, it excels in unlocking and unifying customer data, regardless of its age, location, size, or structure. One of the key reasons why Salesforce customers turn to Heroku is when they require such data to be securely linked to high-scale experiences, such as consumer web or mobile apps, or when they need scalable compute resources to access and analyze more intricate and complex data in real time. In this blog, we’ll explore how to supercharge Agentforce by leveraging one of the ways in which the Heroku…

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