Anush DSouza
Anush is a Senior Product Manager at Heroku with a Focus on Front End and Developer tools.
- News
- Last Updated: June 24, 2025
- Anush DSouza, Gautam Rangarajan
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 …
- News
- Last Updated: May 29, 2025
- Anush DSouza
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 …
- News
- Last Updated: May 15, 2025
- Anush DSouza, Rand Arete
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 …
- News
- Last Updated: May 15, 2025
- Gautam Rangarajan, Anush DSouza
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 …
- News
- Last Updated: May 01, 2025
- Anush DSouza, Hillary Sanders
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?
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- News
- Last Updated: April 10, 2025
- Anush DSouza, Gautam Rangarajan
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.
- News
- Last Updated: April 02, 2025
- Anush DSouza, Hillary Sanders
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.
- News
- Last Updated: March 04, 2025
- Anush DSouza
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.
- Engineering
- Last Updated: December 17, 2024
- Anush DSouza
The Heroku CLI is a vital tool for developers, providing a simple, extensible way to interact with the powerful features Heroku offers. We understand the importance of keeping the CLI updated to enhance user experience and ensure stability. With the release of Heroku CLI v10, we’re excited to introduce key changes that enhance the user experience and improve compatibility with the next-generation Heroku platform.
Heroku CLI v10 introduces several breaking …
- Engineering
- Last Updated: July 25, 2024
- Anush DSouza, Katy Bowman
The Heroku CLI is an incredible tool. It’s simple, extendable, and allows you to interact with all the Heroku functionality you depend on day to day. For this reason, it’s incredibly important for us to keep it up to date. Today, we’re excited to highlight a major upgrade with the release of Heroku CLI v9.0.0, designed to streamline contributions, building, and iteration processes through the powerful oclif platform.
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