# MCP On Heroku Published articles for MCP On Heroku. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Code Execution Sandbox for Agents on Heroku DevFeed: [Code Execution Sandbox for Agents on Heroku]() Original publisher: [Read original article]() Author: Anush DSouza Published: 2026-02-17T20:34:33Z Content type: tutorial Language: en Sources: [Heroku]() Topics: [Heroku](), [Code](), [container](), [Model Context Protocol (MCP)](), [Claude]() Tags: [agents](), [claude](), [code](), [container](), [execution](), [heroku](), [heroku-ai](), [managed-inference-and-agents](), [mcp](), [mcp-on-heroku](), [news](), [sandbox]() ### AI overview Heroku describes code execution sandboxes for AI agents, using ephemeral one-off dynos to isolate untrusted code. The article explains built-in and MCP-based integrations and how programmatic tool calling can reduce context usage. ### Source excerpt Large language models are good at writing code. Data from Anthropic shows that allowing Claude to execute scripts, rather than relying on sequential tool calls, reduces token consumption by an average of 37%, with some use cases seeing reductions as high as 98%. Untrusted code needs a secure and isolated place to execute. We solved [...] The post Code Execution Sandbox for Agents on Heroku appeared first on Heroku. ## Building AI-Powered Observability with Heroku Managed Inference and Agents DevFeed: [Building AI-Powered Observability with Heroku Managed Inference and Agents]() Original publisher: [Read original article]() Author: Karunasri (Karuna) Garigipati Published: 2026-02-13T19:36:30Z Content type: tutorial Language: en Sources: [Heroku]() Topics: [Heroku](), [Model Context Protocol](), [observability](), [telemetry](), [Artificial Intelligence](), [ide]() Tags: [ai](), [developer-tools](), [engineering](), [heroku](), [ide](), [incident](), [managed-inference-and-agents](), [mcp-on-heroku](), [model-context-protocol](), [observability]() ### AI overview This tutorial explains how to connect AI coding assistants in an IDE to observability platforms such as Splunk, Honeycomb, and Sentry through the Model Context Protocol and Heroku Managed Inference and Agents. It describes exposing platform APIs as MCP tools so engineers can query production telemetry in plain English and correlate issues across platforms. ### Source excerpt If you've ever debugged a production incident, you know the drill: IDE on one screen, Splunk on another, Sentry open in a third tab, frantically copying error messages between windows while your PagerDuty keeps buzzing. You ask "What errors spiked in the last hour?" but instead of an answer, you have to context-switch, recall complex [...] The post Building AI-Powered Observability with Heroku Managed Inference and Agents appeared first on Heroku. ## Heroku AI PaaS capabilities and customer examples featured at Dreamforce 2025 DevFeed: [Heroku AI PaaS capabilities and customer examples featured at Dreamforce 2025]() Original publisher: [Read original article]() Author: Lauren Groccia Published: 2025-09-04T15:00:12Z Content type: article Language: en Sources: [Heroku]() Topics: [Heroku](), [Heroku AI](), [Artificial Intelligence](), [MCP](), [Automation](), [Model Context Protocol (MCP)]() Tags: [2025](), [agentforce](), [ai](), [applink](), [automation](), [development](), [events](), [heroku](), [heroku-ai](), [managed-inference-and-agents](), [mcp-on-heroku](), [news](), [platform-updates]() ### AI overview This promotional Dreamforce 2025 guide presents Heroku's evolution from a traditional PaaS to an AI PaaS. It highlights AppLink, Managed Inference and Agents, and MCP on Heroku, along with customer examples involving automation, support, lead delivery, Slack apps, and DevOps. ### Source excerpt The AI revolution presents a critical challenge: moving from experimentation to production. This year, Heroku has evolved beyond a traditional PaaS to become an AI PaaS, a fully managed platform designed to solve this problem and accelerate the delivery of AI-powered apps. With new capabilities like AppLink, Managed Inference and Agents, and MCP on Heroku, Heroku now provides a fully managed platform designed for the AI era. This evolution accelerates the delivery of AI-powered apps and intelligent agents, bringing a new level of speed and simplicity to your development process. Dreamforce 2025 is your chance to see firsthand how the Heroku AI PaaS is delivering business value faster and with less complexity. The post Discover How Heroku's AI PaaS Delivers Real-World Results at Dreamforce appeared first on Heroku. ## Building Agents With Heroku AI and Pydantic AI DevFeed: [Building Agents With Heroku AI and Pydantic AI]() Original publisher: [Read original article]() Author: Anush DSouza Published: 2025-08-08T16:33:37Z Content type: tutorial Language: en Sources: [Heroku]() Topics: [Heroku](), [Pydantic](), [AI Agent](), [Agent Framework](), [Model Context Protocol](), [A2A protocol](), [Python]() Tags: [a2a](), [agents](), [ai](), [ai-agent](), [claude](), [fastapi](), [heroku](), [heroku-ai](), [managed-inference-and-agents](), [mcp-on-heroku](), [model-context-protocol](), [model-context-protocol-mcp](), [news](), [product-features](), [python]() ### AI overview This tutorial explains how to build production-grade AI agents with Heroku Managed Inference and Agents and the Pydantic AI Python framework. It covers Claude model integration, secure code execution, OpenAI-compatible APIs, environment-variable configuration, MCP client and server support, and exposing agents through the A2A protocol. ### Source excerpt 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 [...] The post Building Agents With Heroku AI and Pydantic AI appeared first on Heroku. ## Introducing the Heroku AI Platform as a Service (AI PaaS) DevFeed: [Introducing the Heroku AI Platform as a Service (AI PaaS)]() Original publisher: [Read original article]() Author: Betty Junod Published: 2025-06-26T15:00:05Z Content type: release Language: en Sources: [Heroku]() Topics: [Heroku AI](), [Heroku](), [AI Platform](), [Artificial Intelligence](), [MCP](), [cursor](), [Large Language Model]() Tags: [agents](), [ai](), [claude-code](), [cursor](), [heroku](), [heroku-ai](), [llms](), [managed-inference-and-agents](), [mcp](), [mcp-on-heroku](), [mcp-server](), [news](), [partners](), [platform](), [platform-updates]() ### AI overview Heroku announces its evolution into an AI Platform as a Service, adding AI capabilities to its cloud platform. The announcement describes Heroku AppLink, integrations with Cursor, Windsurf, and Claude Code, and tools for building and running MCP servers. ### Source excerpt 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 [...] The post Introducing the Heroku AI Platform as a Service (AI PaaS) appeared first on Heroku. ## Heroku AI: Heroku Remote MCP Server DevFeed: [Heroku AI: Heroku Remote MCP Server]() Original publisher: [Read original article]() Author: Anush DSouza Published: 2025-06-24T22:47:09Z Content type: release Language: en Sources: [Heroku]() Topics: [Heroku](), [MCP Server](), [Heroku AI](), [Model Context Protocol (MCP)](), [OAuth 2.0](), [Authentication](), [Claude](), [cursor](), [Visual Studio Code]() Tags: [agentforce](), [ai](), [authentication](), [claude](), [cursor](), [developer-tools](), [heroku](), [heroku-ai](), [mcp](), [mcp-on-heroku](), [mcp-server](), [news](), [oauth](), [oauth-2-0](), [remote-mcp-server](), [visual-studio-code]() ### AI overview Heroku introduces the Heroku Remote MCP Server, extending its earlier stdio-based server with remote access and OAuth 2.0 authentication. The article explains how agents and clients such as Claude, Agentforce, Cursor, and Visual Studio Code can connect to Heroku and use platform tools. ### Source excerpt Developers can easily scale how autonomous agents interact with infrastructure using the Heroku Remote MCP Server at https://mcp.heroku.com/mcp. This new remote server expands our earlier stdio-based MCP server and comes with secure OAuth authentication. It's provides a secure, scalable, and incredibly simple way for agents to interact with the Heroku platform and use tools to [...] The post Heroku AI: Heroku Remote MCP Server appeared first on Heroku. ## Heroku AI: Managed Inference and Agents is now Generally Available DevFeed: [Heroku AI: Managed Inference and Agents is now Generally Available]() Original publisher: [Read original article]() Author: Anush DSouza Published: 2025-05-15T16:00:48Z Content type: release Language: en Sources: [Heroku]() Topics: [Heroku AI](), [Heroku](), [Inference](), [AI Infrastructure](), [Model Context Protocol]() Tags: [agents](), [ai](), [ai-infrastructure](), [developer-tools](), [heroku-ai](), [inference](), [managed-inference-and-agents](), [mcp-on-heroku](), [model-context-protocol](), [news]() ### AI overview Heroku AI: Managed Inference and Agents is generally available. The release provides ready-to-use access to curated AI models and primitives for building agents that can reason, act, call tools, and support AI-powered features in Heroku applications. ### Source excerpt 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 [...] The post Heroku AI: Managed Inference and Agents is now Generally Available appeared first on Heroku. ## Heroku AI: Build and Deploy Enterprise Grade MCP Servers DevFeed: [Heroku AI: Build and Deploy Enterprise Grade MCP Servers]() Original publisher: [Read original article]() Author: Gautam Rangarajan Published: 2025-05-15T15:58:21Z Content type: tutorial Language: en Sources: [Heroku]() Topics: [Heroku](), [Model Context Protocol](), [MCP Server](), [interoperability](), [Artificial Intelligence]() Tags: [ai](), [heroku](), [heroku-ai](), [infrastructure](), [interoperability](), [managed-inference-and-agents](), [mcp](), [mcp-on-heroku](), [mcp-server](), [news](), [product-features]() ### AI overview This guide explains how to build and deploy MCP servers on Heroku using Heroku Managed Inference and Agents. It describes MCP as a standardized way for AI applications to provide context to large language models and connect them with data sources and tools. The guide covers SDK support, server registration, unified access through the MCP Toolkit, external client access, on-demand scaling, and code isolation. ### Source excerpt 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 [...] The post Heroku AI: Build and Deploy Enterprise Grade MCP Servers appeared first on Heroku. ## How I Improved My Productivity with Cursor and the Heroku MCP Server DevFeed: [How I Improved My Productivity with Cursor and the Heroku MCP Server]() Original publisher: [Read original article]() Author: Julián Duque Published: 2025-05-05T08:00:12Z Content type: tutorial Language: en Sources: [Heroku]() Topics: [cursor](), [Model Context Protocol (MCP)](), [Heroku](), [Heroku AI](), [JavaScript](), [Front end](), [Back end]() Tags: [ai](), [backend](), [coding](), [cursor](), [developer-tools](), [engineering](), [front-end](), [heroku](), [heroku-ai](), [javascript](), [mcp-on-heroku](), [model-context-protocol](), [model-context-protocol-mcp]() ### AI overview The article describes how the author uses Cursor with the Heroku MCP Server to deploy and scale applications from within the code editor. It explains MCP's client-server model and how it connects AI assistants to external tools and data sources. ### Source excerpt 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 [...] The post How I Improved My Productivity with Cursor and the Heroku MCP Server appeared first on Heroku. ## Introducing the Official Heroku MCP Server DevFeed: [Introducing the Official Heroku MCP Server]() Original publisher: [Read original article]() Author: Anush DSouza Published: 2025-04-10T15:00:42Z Content type: release Language: en Sources: [Heroku]() Topics: [Heroku](), [MCP Server](), [Model Context Protocol](), [Artificial Intelligence](), [Command-line interface](), [Development](), [Heroku Postgres]() Tags: [ai](), [cli](), [developer-tools](), [development](), [heroku](), [heroku-ai](), [heroku-postgres](), [mcp](), [mcp-on-heroku](), [mcp-server](), [news]() ### AI overview Heroku announces its official Heroku MCP Server, which exposes Heroku platform capabilities to AI agents through Model Context Protocol. The release supports application lifecycle management, Heroku Postgres operations, add-on management, scaling, logs, and monitoring, using the Heroku CLI as its execution engine. ### Source excerpt 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 [...] The post Introducing the Official Heroku MCP Server appeared first on Heroku.