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Heroku AI

Amazon Nova Models: Now Available on Heroku

Building intelligent applications requires powerful, cost-effective AI. Today, we’re simplifying that process by making Amazon’s cutting-edge Nova models directly available via Heroku Managed Inference and Agents. Provisioning these models is as simple as attaching the add-on to your Heroku application, providing a direct, managed path for developers and businesses to leverage a new class of powerful and cost-effective AI models with unparalleled simplicity.

Heroku AI Expands Model Offering with OpenAI’s gpt-oss-120b

Start building with OpenAI’s new open-weight model, gpt-oss-120b, now available on Heroku Managed Inference and Agents. This gives developers a powerful, transparent, and flexible way to build and deploy AI applications on the platform they already trust. Access gpt-oss-120b with our OpenAI-compatible chat completions API, which you can drop into any OpenAI-compatible SDK or framework.

Building Data-Aware AI Applications with Heroku AI and LlamaIndex

Building AI applications that can interact with private data is a common goal for many organizations. The challenge often lies in connecting large language models (LLMs) with proprietary datasets. A combination of Heroku Managed Inference and Agents and LlamaIndex provides an elegant stack for this purpose.

This post explores how to use these tools to build retrieval-augmented generation (RAG) applications. We’ll cover the technical components, Use Cases and the development process, and how to get started.

Building Agents With Heroku AI and Pydantic AI

Building production-grade AI applications can be complex, but with Heroku and Pydantic AI, developers gain a powerful and reliable solution for integrating advanced AI capabilities. Heroku makes it easy to integrate AI into your applications with Heroku Managed Inference and Agents. With a single click, you can attach powerful Large Language Models like Anthropic’s Claude 4 Sonnet to your apps. Heroku AI also provides built-in tools like secure code execution and an OpenAI-compatible API that you can drop directly into popular frameworks and SDKs.

Introducing the Heroku AI Platform as a Service (AI PaaS)

Today, we are pleased to announce the evolution of Heroku to an AI Platform as a Service (AI PaaS). GenAI has changed how we build software (vibe coding), the kind of technology we use (Cursor, LLMs), the type of software we make (agents), and redefined what it means to be a developer in this new world.

In a recent Salesforce study, 84% of developers with AI say it helps their teams complete their projects …

Heroku AI: Heroku Remote MCP Server

Today, we’re thrilled to announce a new way in which agents can access the Heroku platform using the Heroku Remote MCP Server, now available at https://mcp.heroku.com/mcp.

This new remote server is an expansion of our earlier stdio-based MCP server and comes with secure OAuth authentication. It’s designed to provide a secure, scalable, and incredibly simple way for agents to interact with the Heroku platform and use tools to perform actions such as creating a Heroku …

Heroku AI: Claude 4 Sonnet is now available

Anthropic’s Claude 4 Sonnet, part of the next generation of Claude models, is now available on Heroku Managed Inference and Agents. This gives developers immediate access to a model designed for coding, advanced reasoning, and the support of capable AI agents. Heroku Managed Inference and Agents expands your AI choices, offering the freedom to build transformative applications with the developer and operational ease Heroku is known for. Claude 4 Sonnet extends what’s possible with …

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 …

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 …

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 custom applications.

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